Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

网刊加载中。。。

使用Chrome浏览器效果最佳,继续浏览,你可能不会看到最佳的展示效果,

确定继续浏览么?

复制成功,请在其他浏览器进行阅读

Maximum Loadability Evaluation Method for Multi-voltage-level DC Distribution Network with DC Electric Springs  PDF

  • Xiaolong Xu 1
  • Qianggang Wang 1 (Senior Member, IEEE)
  • Jianquan Liao 2 (Member, IEEE)
  • Yuan Chi 1 (Member, IEEE)
  • Tao Huang 3 (Senior Member, IEEE)
  • Niancheng Zhou 1 (Senior Member, IEEE)
  • Yiyao Zhou 1
  • Xuefei Zhang 1
1. State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing, China; 2. College of Electrical Engineering, Sichuan University, Chengdu, China; 3. Department of Energy, Politecnico di Torino, Torino, Italy

Updated:2025-07-23

DOI:10.35833/MPCE.2024.000187

  • Full Text
  • Figs & Tabs
  • References
  • Authors
  • About
CITE
OUTLINE

Abstract

The multi-voltage-level DC distribution network (MVL-DC-DN) is a promising network for efficiently integrating rapidly growing DC loads, and fast-growing load demand would bring a challenge to the MVL-DC-DN in terms of the maximum loadability. This paper considers the DC electric spring (DC-ES) as a novel candidate flexible resource for enhancing the maximum loadability of the MVL-DC-DN, and proposes an evaluation method for the maximum loadability. Firstly, with the consideration of device constraints, the impact that the DC-ES on the maximum loadability of the DC distribution network (DC-DN) is analyzed via a simplified equivalent circuit. Subsequently, the power flow (PF) model of an MVL-DC-DN with DC-ESs is established. Finally, a method based on continuation power flow (CPF) for evaluating the maximum loadability of an MVL-DC-DN with DC-ESs is proposed. During the evaluation, limitations of the DC-ES and the DC transformer (DCT) are considered. The consideration of the practical constraints avoids the overestimation of the maximum loadability. The case study verifies the effectiveness of the proposed method.

I. Introduction

IN recent years, more and more DC loads are integrated into distribution networks (DNs) [

1], [2]. Demand for various voltage levels has promoted the development of multi-voltage-level DC distribution networks (MVL-DC-DNs) [3], and the networks with different voltage levels are interconnected by DC transformers (DCTs). The MVL-DC-DN is also effective for integrating distributed generations (DGs). Nevertheless, DGs can have negative impacts on MVL-DC-DNs, such as deterioration of power quality [4], [5]. In addition, fast-growing DC loads also bring challenges to MVL-DC-DNs, in terms of the maximum loadability. The DC electric spring (DC-ES) [6] is a promising candidate resource to address these problems. Although scholars have conducted comprehensive research focusing on applications of the DC-ES such as voltage regulation [7], DG consumption [8], and harmonic cancellation [9], the application of the DC-ES for enhancing the maximum loadability of MVL-DC-DNs is yet to be explored. The maximum loadability is a prevalent indicator of a network and a static voltage collapse occurs when the maximum loadability is exceeded [10].

The DC-ES is typically connected in series with a non-critical load (NL) [

6] to form a smart load, and then connected in parallel with a critical load (CL) [6], [11], [12]. Consumed power of the smart load can be regulated by controlling output voltage of the DC-ES, thereby maintaining the voltage of the CL [13], [14]. Given the excellent performance in MVL-DC-DNs, DC-ESs are expected to be widely deployed in the future and play an important role. Consequently, with the ability to inject power [6], DC-ESs would be significant resources for enhancing the maximum loadability. On this basis, evaluating how much the maximum loadability can be enhanced by DC-ESs becomes a necessary research problem.

Common methods for evaluating the maximum loadability of a network are summarized in Table I. The evaluation methods can be categorized into the optimization-based method and bifurcation analysis method. The optimization-based method aims to determine the maximum load power that the network can support under various constraints, which are typically formulated and solved using methods such as second-order cone programming (SOCP) [

15], semi-definite programming (SDP) [16], sequential convex programming (SCP) [17], and non-linearity programming (NLP) [18]. These methods usually perform a high efficiency in term of calculation. However, they do not develop a comprehensive model, failing to capture details in voltage stability [17]. These details may be helpful for future works during the evaluation process such as weak branch identification.

TABLE I  Summary of Common Methods for Evaluating Maximum Loadability
MethodTechniqueAdvantageDisadvantage
Optimization-based method SOCP,SDP High flexibility in modeling operational constraints Accuracy of optimal solution depends on accuracy of relaxation
SCP High accuray Low computing efficiency
NLP No transformation is required on the model Easy to fall into local optima
Bifurcation analysis method DM Light calculation burden Cannot handle inequality constraints or identify type of bifurcation point
CPF

High accuracy and details in voltage stability can be

captured

Convergence highly depends on search step size and parameter selection

The bifurcation analysis method is another way to evaluate the maximum loadability [

19], including the direct method (DM) [20] and the continuation power flow (CPF) method [21]. The DM aims to evaluate the maximum loadability via direct calculation of a saddle node bifurcation point (SNBP), but it cannot identify the limit induced bifurcation point (LIBP). The LIBP is usually caused by limitations of power sources (or devices working as power sources) and it can easily lead to a voltage collapse [22]. In MVL-DC-DNs, current limitations of DCTs for protection purpose are easily triggered and result in an LIBP under a heavy load condition. Consequently, the application of the DM is limited by this phenomenon.

As for the CPF method, it is a homotopy-idea-based method that tracks the entire solution manifolded through predictive-corrective iterations [

21]. In [23], the CPF method is used to evaluate and compare the maximum loadability of the DC distribution network (DC-DN) and the MVL-DC-DN. The result indicates that the MVL-DC-DN outperforms the DC-DN in terms of the maximum loadability. Compared with optimization-based methods, the CPF method provides more accurate results because it retains the original constraints. Additionally, the CPF method develops a comprehensive model that reflects details in voltage stability and does not have the problem of local optima. In terms of bifurcation identification, it can effectively identify an LIBP by checking the limitations after a corrective iteration.

However, research on CPF methods regarding an MVL-DC-DN with DC-ESs has been rare. During the CPF, as the load power increases, the voltage limitations of DC-ESs will be triggered and the bus voltages cannot be maintained. At this moment, bus types are changed. Bus type conversion would extremely complicate the corrective iterations, and even lead to an incorrect evaluation. Moreover, the treatment of DCTs whose current limitations are triggered is also an issue that should be considered, as the expected external characteristics of them are also changed. To address the above-mentioned issues, this paper proposes an evaluation method based on CPF for the maximum loadability of an MVL-DC-DN with DC-ESs. The major contributions of this paper are summarized as follows.

1) An evaluation method based on CPF for the maximum loadability of an MVL-DC-DN with DC-ESs is proposed. The output voltage and power capability limitations of the DC-ES and the current limitations for the DCT are considered. The consideration of practical constraints effectively prevents the network from collapsing caused by overestimating the maximum loadability.

2) Type conversion logic of buses deployed with a DC-ES is analyzed. This logic is analyzed by watching how the limitations of the DC-ES are triggered as the load goes up. This logic helps the corrective iterations directly determine the conversion type for a bus with fewer judgment procedures.

3) As a novel resource, the DC-ES is adopted to enhance the maximum loadability of MVL-DC-DNs. Impacts of two elements (i.e., voltage limitation of DC-ES and power of NL connecting in series with DC-ES) on enhancing the maximum loadability are analyzed. This analysis can provide a reference for planning DC-ESs in MVL-DC-DNs.

The rest of this paper is organized as follows. In Section II, the impact of the DC-ES on the maximum loadability of DC-DN is analyzed. In Section III, power flow (PF) models of both the MVL-DC-DN and the MVL-DC-DN with DC-ESs are established. In Section IV, the evaluation method for the maximum loadability of an MVL-DC-DN with DC-ESs is described. In Section V, the results of case study are shown and analyzed. Section VI concludes this paper with the final remarks.

II. Impact of DC-ES on Maximum Loadability of DC-DN

A simplified equivalent circuit of a DC-DN with a DC-ES is illustrated in Fig. 1. The DC-ES functions as a controllable voltage source to maintain the bus voltage. Note that all of the loads in this paper are modeled as pure constant power loads.

Fig. 1  Simplified equivalent circuit of DC-DN with DC-ES.

When the bus voltage V is maintained to be Vtarget, the load power of the simplified network is expressed as:

PL=VDC-VtargetRVtarget-PesPes=PNLVesVtarget-Ves (1)

Equation (1) indicates that an increase of the load power results in a bigger output voltage amplitude and output power of the DC-ES, thus maintaining the bus voltage.

A. Maximum Loadability Without Considering Rated Power Capability of DC-ES

Under a heavy load power, the output voltage of the DC-ES will reach its limit, and the bus voltage cannot be maintained anymore. The output power of the DC-ES is described as:

Pes=Veslim(αλPb+PNLini)V-Veslim (2)

The partial derivatives of Pes with respect to V and λ are written as:

PesV=-Veslim(αλPb+PNLini)(V-Veslim)2>0Pesλ=αPbVeslimV-Veslim<0 (3)

Equation (3) indicates that the output power of the DC-ES increases with the load power even when the output voltage of the DC-ES is limited.

The maximum loadability of the simplified circuit can be expressed as:

PLini+λmaxPb=V(VDC-V)R-Veslim(αλmaxPb+PNLini)V-VeslimPLini=PNLini+PCLini (4)

λmax is expressed as (5) by rewritten (4).

λmax=-V3+V2(Veslim+VDC)-V(VeslimVDC+RPLini)PbR(αVeslim+V-Veslim)+RVeslim(PLini-PNLini)PbR(αVeslim+V-Veslim) (5)

The partial derivatives of λmax with respect to Veslim and α are expressed as:

λmaxVeslim=VαV(V-VDC)R+PLini-PNLiniPb[(α-1)Veslim+V]2 (6)
λmaxα=-Veslim-V3+V2(Veslim+VDC)PbR(αVeslim+V-Veslim)2+-V(VeslimVDC+RPLini)+RVeslim(PLini-PNLini)PbR(αVeslim+V-Veslim)2 (7)

V(V-VDC)/R>PLini is always satisfied before Veslim is reached. Thus, λmax/Veslim is negative. This means that the maximum loadability of the network can be further enhanced by the DC-ES with a bigger Veslim, and a bigger α leads to a similar result.

Furthermore, the second-order partial derivatives of λmax with respect to Veslim and α are expressed as:

2λmax(Veslim)2=-2V(α-1)αV(V-VDC)R+PLini-PNLiniPb[(α-1)Veslim+V]3 (8)
2λmaxα2=2(Veslim)2-V3+V2(Veslim+VDC)PbR(αVeslim+V-Veslim)2+-V(VeslimVDC+RPLini)+RVeslim(PLini-PNLini)PbR(αVeslim+V-Veslim)2 (9)

It is evident that 2λmax/(Veslim)2 is negative in the negative reference direction, and an increase in Veslim reduces the efficiency for enhancing the maximum loadability. Conversely, the opposite result can be expected for α.

B. Maximum Loadability Considering Rated Power Capability of DC-ES

According to (3), the output power of the DC-ES increases with the power of NLs even when the output voltage of the DC-ES is limited. Usually, to ensure the security of the DC-ES, a rated power capability is set to the DC-ES.

After the rated power of the DC-ES is reached, the DC-ES functions as a constant power source. The maximum loadability of the network is expressed as:

λmax=Vs24RPb+Pesrate-PLiniPb (10)

The partial derivative of λmax with respect to Pesrate is expressed as:

λmaxPesrate=1Pb (11)

Equations (10) and (11) demonstrate that a larger rated power capability of the DC-ES results in a greater enhanced maximum loadability.

C. Working Mode Conversion Logic of DC-ES

In a DC-DN, during the process of identifying the maximum loadability by constantly increasing the load power, the DC-ES can operate in various modes. Equation (1) demonstrates that, within a light-load range, the bus voltage can be maintained via adjusting the voltage of the DC-ES. While under an overload condition, although the output voltage of the DC-ES is limited, the output power of the DC-ES still increases with the load power. After the rated power capability of the DC-ES is reached, the DC-ES functions as a constant power source. The consumed power of the bus equals to the load power minus the rated power capability of the DC-ES. Therefore, in a DC-DN, the DC-ES could function sequentially as a controllable voltage source, a constant voltage source, and a constant power source, striving to provide the best power injection within its capacity.

According to the analyzed working mode of the DC-ES, three kinds of bus types are defined and listed as follows. And the bus type conversion logic for a bus connected to a DC-ES is illustrated in Fig. 2.

Fig. 2  Bus type conversion logic for a bus connected to a DC-ES.

1) Type V: the bus voltage is maintained at a fixed value.

2) Type Ves: the voltage of the DC-ES is maintained at a fixed value.

3) Type P: the net load power of the bus is known.

D. Maximum Loadability Considering Current Limitation of DCT

DCT is a power electronic device whose current limitation significantly affects the maximum loadability of an MVL-DC-DN. An insufficient current limitation would be easily exceeded under heavy load conditions. Assume there is a DCT between the power source and the load bus in Fig. 1. Equation (12) yields the maximum loadability of the circuit in Fig. 1 when the current limitation of the DCT is reached.

λmax=-R2Ilim3+a2Ilim2+b2Ilim+c2Pb[RIlim+(1-α)Veslim-Vs]a2=RVeslim-2RVsb2=RPLini-VsVeslim+Vs2c2=VeslimPCLini-VsPLini (12)

III. PF Models of MVL-DC-DN and MVL-DC-DN with DC-ESs

A. PF Model of DC-DN

The topology of a DC-DN is illustrated in Fig. 3, and the PF model of the DC-DN meets (13).

VdiagYV+PL=0 (13)

Fig. 3  Topology of a DC-DN.

B. PF Model of MVL-DC-DN

In an MVL-DC-DN, the DCT plays an essential role for power transmission between networks at different voltage levels. DCTs usually adopt the dual active bridge (DAB) topology with a single-phase shift modulation [

24]. The topology of a DAB-based DCT is illustrated in Fig. 4. For the DAB-based DCT, the power transmission meets (14).

Ptran=nhV1DV2D2fsLDD(1-D) (14)

Fig. 4  Topology of a DAB-based DCT.

Comparing with the AC transformer (ACT), the DCT offers more flexible control strategies. For instance, control strategies aim to maintain a constant voltage ratio between the primary and secondary sides of the DCT, as well as a constant output power and a constant output voltage on the secondary side of the DCT [

25]. Note that these aims are achieved on the premise that the current of the DCT is within its limitation.

The topology of an MVL-DC-DN is illustrated in Fig. 5.

Fig. 5  Topology of an MVL-DC-DN.

In the MVL-DC-DN, the input/output (I/O) matrix of the DCT is determined by its control strategy. And the PF model of the MVL-DC-DN can be obtained by substituting the I/O matrix into the model of a DC-DN. Assuming that a DCT is deployed between bus i and bus j, and the corresponding PF model is expressed as:

VdiagYmodV+PL=0Yijmod=Y12I/OYjimod=Y21I/OYiimod=Yii+Y11I/O+YijYjjmod=Yjj+Y22I/O+Yji (15)

YI/O is described in detail in [

26]. Note that other elements of Ymod are equal to those in Y.

C. PF Model of MVL-DC-DN with DC-ESs

The topology of an MVL-DC-DN with DC-ESs is illustrated in Fig. 6. Its PF model is expressed as:

VdiagYmodV+PL-(Vdiag-Vesdiag)-1(VesdiagPNL)=0 (16)

Fig. 6  Topology of an MVL-DC-DN with DC-ESs.

Note   that Ves has the same dimension as V. If bus i is not deployed with a DC-ES, Ves,i0.

IV. Evaluation Method for Maximum Loadability of MVL-DC-DN with DC-ESs

A. Framework of Proposed Method

The proposed method primarily includes the prediction step and the correction step, which are executed alternately. Limitations of DC-ESs and DCTs are handled in the correction step. After each correction step, the limitations are checked. If any limitation is violated, the corresponding variable is set to its limit. Then, the correction step is re-executed. Once the stopping criterion is satisfied, the evaluation is finished. The framework of the proposed method is illustrated in Fig. 7.

Fig. 7  Framework of proposed method.

B. Prediction Step

During the CPF, an approximate solution for the next PF calculation is obtained in the prediction step by taking a step forward in the direction tangent to the current PF result. The process of the prediction step is described as:

Vpλp=Vλ+σΔVΔλ (17)
ΔVΔλ=fVfλek-10x (18)

where x equals 1 if the kth element of the vector [V,λ]T is λ; otherwise, x equals -1. The proximate solution will be corrected in the correction step.

Note that the selection of the step size σ is essential for the convergence of the CPF. A large value of σ can accelerate the CPF, but increasing the risk of non-convergence near the maximum loadability point. In contrast, a small value of σ can effectively decrease the risk of non-convergence, but slows the process. To balance the convergence and the calculation speed, the value of σ in this paper is defined as follows. In the initial phase, when the bus voltages vary at a slower rate than the load power, a large value of σ is used to accelerate the process. Conversely, when the bus voltages vary at a faster rate than the load power, the value of σ is reduced by dividing a number greater than one, thus facilitating the convergence. The variation speed for both the bus voltages and the load power can be evaluated by conducting a tangent in the direction of increasing load power.

C. Correction Step

The entire evaluation process covers three stages. The definitions of the three stages are listed as follows. Switching conditions for the stages include two criteria: the output voltage and the output power limits of the DC-ES.

Stage I: neither the output voltage nor the output power of the DC-ES has reached the limits.

Stage II: the output voltage of the DC-ES has reached the limit, while the output power has not.

Stage III: both the output voltage and the output power of the DC-ES have reached the limits.

During the correction step, the Jacobian matrices for the three stages are different from each other, but related. After a correction step, if any DC-ES meets the switching conditions, the evaluation switches to the corresponding stage, and is corrected again. Correction steps for the three stages are described as follows.

1) Stage I

In this stage, voltages of the buses deployed with a DC-ES are kept at a fixed value, and the bus type is V. Mismatch vector of power for these buses is expressed as:

f(V,Ymod,PL,Pb,λ)=VdiagYmodV+PL+λPb-AA=(Vdiag-Vesdiag)-1[Vesdiag(λαdiagPb+PNL)]Vdiag=diag(V)αdiag=diag(α) (19)

where α has a same dimension as V. If bus i is not deployed with DC-ESs, αi0.

The Jacobian matrix can be obtained according to (19), which includes three blocks.

JI=fV,Ifλ,Iem (20)

where the subscript m means that the mth element among [Vp,λp]T is selected as a continuation parameter, with the maximum absolute value among [ΔV,Δλ]T. When a variable is selected as the continuation parameter, it always equals to its prediction value.

For the buses with type V, their voltages are maintained via adjusting voltages of DC-ESs. In the Jacobian matrix, the column elements, which correspond to the buses deployed with a DC-ES, equal to partial derivatives of the unbalanced power with respect to the voltage of the DC-ES. In this paper, a bus connected to a power source is considered as the swing bus. Row elements corresponding to the swing bus equal to 0, except the diagonal elements equal to 1. Besides, λ is also a variable during the CPF, and the partial derivative of the unbalanced power with respect to λ is included in the Jacobian matrix. Other elements of the Jacobian matrix are the same as elements in a Jacobian matrix of an MVL-DC-DN. Elements of the matrix fV,I and the vector fλ,I are expressed as:

fV,I,ij=0                              ij,iS||jE-ViB                      i=j,jEYijmodVi                    ij,iN-S,jE1                              i=j,iSYijmodVi+YimodV    i=j,iES,jE (21)
fλ,I,i=Pb,i-αiVes,iPb,i/(Vi-Ves,i) (22)
B=(PNL,i+λαiPb,i)/(Vi-Ves,i)2 (23)

Corrections for the variables are expressed as:

ΔC=-JI-1f0Tfi=0    iS (24)

where the elements of ΔC include both corrections of bus voltages and DC-ES voltages.

2) Stage II

In this stage, the output voltages of some DC-ESs are limited, and these DC-ESs function as constant voltage sources. Their bus types are converted from type V to type Ves. The power equations of these buses are the same as (19), and the Jacobian matrix in the compact form is expressed as:

JII=fV,IIfλ,IIem (25)

Since not all buses belonging to set E are converted to type Ves simultaneously, both the types V and Ves could exist in the network. Thus, the Jacobian matrix JII can be obtained by making some modifications to the Jacobian matrix JI. Column elements corresponding to the buses with the type Ves equal to partial derivatives of the unbalanced power with respect to the bus voltages. Elements of the matrix fV,II and vector fλ,II are expressed as:

fV,II,ij=YijmodVi+YimodV-Ves,iB    i=j,iE'YijmodVi                                   ij,iE'fV,I,ij                                      iE' (26)
fλ,II,ij=Pb,i+αiVes,iPb,i/(Vi-Ves,i) (27)
Ves,i=Ves,ilim     iE' (28)

Veslim has the same dimension as V. If bus i is not deployed with a DC-ES, the corresponding Ves,ilim0. Corrections for the variables are expressed as:

ΔC=-JII-1f0Tfi=0    iSVes,i=Ves,ilim    iE' (29)

3) Stage III

In this stage, the output power of some DC-ESs is limited, and these DC-ESs function as constant power sources. Their bus types are converted from type Ves to type P. The power equations for these buses are expressed as:

fi: (VdiagYmodV)i+PL,i+λPb,i+Pes,irate=0    iE (30)

The Jacobian matrix in the compact form for this stage is expressed as:

JIII=fV,IIIfλ,IIIem (31)

Elements of the vectors fV,III and fλ,III are expressed as:

fV,III,ij=YijmodVi+YimodV    i=j,iE''YijmodVi                    ij,iE''fV,II,ij                      iE'' (32)
fλ,III,ij=Pb,i    iE''  (33)

Corrections for the variables are expressed as:

ΔC=-JIII-1f0Tfi=0    iSVes,i=Ves,ilim    iE' (34)

D. Correction for Current Limitation Violation of DCT

After a correction, if a current limitation violation of the DCT occurs, the result should be corrected again. For example, in Stage III, a current limitation violation occurs on the second side of a DCT, then the Jacobian matrix JCLV is yielded as (30), with a minor modification to JIII.

JCLV=fV,IIIfλ,IIIY21I/Oes-Y22I/Oer (35)

Corrections of the variables are expressed as:

ΔC=-JCLV-1f0Tfi=0    iSVes,i=Ves,ilim    iE'fn+1=Vs/Rsr-Vr/Rsr-Ilim (36)

After that, the current on the second side of the DCT should be kept. And PF model should be corrected according to (14) instead of I/O relationship in (15). The correction in detail is described based on Fig. 8. Here, a virtual bus with a voltage of Vm is introduced to help form PF model of the DCT.

Fig. 8  Equivalent model of DCT.

The PF model of the DCT at this time meets (37).

nhViVmD1-D2fsLD+Vi(Vi-Vi-1)Yi-1,i=0(Vm-Vj)VmYloss-nhViVmD1-D2fsLD=0(Vm-Vj)VjYloss+(Vj-Vj+1)Yloss=0(Vm-Vj)Yloss-Ilim=0 (37)

In (37), four independent equations are established exactly corresponding to four variables, which are voltages on the primary and second sides of the DCT Vi and Vj, virtual bus voltage Vm, and phase shift D. This satisfies the necessary condition under which the PF model of a network is solvable. And the Jacobian matrix should also be reconfigured according to (37).

E. Convergence of Proposed Method

To enhance the convergence performance of the proposed method, three aspects should be focused on under the premise of a solvable PF model.

1) The proposed method is a CPF-based method, which alternately carries the prediction steps and the correction steps upon an initial operation point. It is essentially crucial to find a proper initial iterative point for the convergence of the entire CPF process [

27]. A proper initial iterative point can be found according to Lipschitz condition and an inequality condition (Theorem 1 in [27]), and the proof is presented in [28]. Moreover, [29] gives a concise and less conservative convergence condition (Theorem 1), which could provide an easier way to set the initial value to guarantee the convergence.

2) Proper selection of the continuation parameter helps improve the convergence over the whole evaluation process. Near the maximum loadability point, selecting λ as a parameter easily makes power equations unsolvable, leading to non-convergence of the corrective iteration. This is because the predicted load parameter λpre at this position easily exceeds the critical point. Selecting the bus voltage as a parameter could effectively avoid this issue, since its predicted value at this position and its value at the maximum loadability point are within the same range (initial voltage of 0). Usually, the variable with the largest absolute value among the predictions is selected as the continuation parameter, making the selection adaptive.

3) A proper step size of σ in the prediction step is benefit for improving the convergence. As this topic was previously discussed in Section IV-B, it will not be elaborated upon here.

F. Solution Procedure

Figure 9 illustrates the comprehensive procedure for evaluating the maximum loadability of an MVL-DC-DN with DC-ESs. As mentioned in Section II-A, the output power of a DC-ES increases with the load power even when its voltage is limited. Therefore, during the limitation checking process, the power capability limitation of a DC-ES is checked first. If the power capability limitation of a DC-ES is violated, its voltage violation will not be considered. When Δλp<0 is satisfied, the evaluation is finished.

Fig. 9  Comprehensive procedure for evaluating maximum loadability of an MVL-DC-DN with DC-ESs.

V. Case Study

The performance of the proposed method is demonstrated in this section. Simulations are conducted in MATLAB 2018b on a 64-bit computer with a 3.00 GHz CPU and 16 GB RAM. A modified Pacific Gas and Electric Company (PG&E) 69-bus network is adopted as the test network, whose topology is shown in Fig. 10.

Fig. 10  Topology of modified PG&E 69-bus network.

Note that in the following study, the current limitation of the DCT is assumed to be large enough unless specifically stated. And the interconnection switches S1, S2, and S3 are off by default. In the MVL-DC-DN, the reactance and reactive power are both ignored [

30], [31]. The turn ratio of the DCT is controlled to be constant. The baseline load power vector Pb consists of the original load power for each bus. All parameters of the MVL-DC-DN are listed in Table II.

TABLE II  Parameters of MVL-DC-DN
ParameterValue
Controlled turn ratio of DCT (p.u.) 0.9
Switching frequency of DCT (Hz) 1000
Auxiliary inductance (mH) 0.1
Winding turn ratio of DCT 2
Rated voltage on transformer sides (kV) 12.66/6.33
Voltage base on transformer sides (kV) 12.66/6.33
Power base (MVA) 10

A. Maximum Loadability Comparison Between MVL-DC-DN and MVL-DC-DN with DC-ESs

With the parameters of DC-ESs listed in Table III, the voltage curves of the MVL-DC-DN with and without DC-ESs are illustrated, where λ corresponding to the bifurcation point of the voltage curve represents the maximum loadability of the networks. A larger λ means a greater maximum loadability. It can be observed from Fig. 11 that the maximum loadability of the MVL-DC-DN with DC-ESs is nearly 0.2 greater than that of the one without DC-ESs. Obviously, the DC-ESs have enhanced the maximum loadability of the MVL-DC-DN.

TABLE III  Parameters of DC-ESs
ParameterValue
DC-ES location Buses 21, 24, and 27
Ves,ilim (p.u.) -0.5, -0.5, -0.5
Pes,irate (p.u.) -0.009, -0.008, -0.007

Fig. 11  Voltage curves of MVL-DC-DN with and without DC-ESs.

The three stages distinguished in Section IV-C are shown in the Fig. 11 and Fig. 12.

Fig. 12  Output power curves of MVL-DC-DN with DC-ESs.

Stage I: in Fig. 11, before point A, the voltage of Bus 21 can be regulated to the target value by the DC-ES, and the bus type is V. In Fig. 12, point B corresponds to point A. Before point B, DC-ESs connected to Bus 24 and Bus 27 do not reach their output voltage limits. However, the power curve of Bus 24 experiences a turning point at point C. The reason is that, after point B, the DC-ES on Bus 21 is unable to sustain the bus voltage. Consequently, a considerable amount of additional power is needed to be injected by the DC-ES on Bus 24 in order to maintain the bus voltage. It is evident that the slope of the curve increases after point C.

Stage II: after point B, the DC-ES on Bus 21 reaches its output voltage limit but still holds the power injection. During this process, the DC-ES on Bus 24 passes through point D. At point D, the output voltage of the DC-ES is limited, which results in point E. The DC-ES on Bus 27 reaches its output voltage limit at point F.

Stage III: after point G, the DC-ES on Bus 24 first reaches its output power limit and is limited. The other two DC-ESs continue to provide increasing output power with limited output voltage until they reach their power limit.

B. Maximum Loadability Considering Rated Power Capability of DC-ES and Current Limitation of DCT

To further verify the advantages and practicality of the proposed method, three cases are considered.

1) Case 1: neither the rated power capability of the DC-ES nor the current limitation of the DCT is considered.

2) Case 2: the rated power capability of the DC-ES is considered, while the current limitation of the DCT is not considered.

3) Case 3: both the rated power capability of the DC-ES and the current limitation of the DCT are considered. The evaluation results are illustrated in Fig. 13 and Fig. 14. The Bus 27 is taken as the sample. In case 3, the current limitation of the DCT is set to be 700 A on the secondary side.

Fig. 13  Voltage curves of Bus 27 in three cases.

Fig. 14  Output power curves of Bus 27 in three cases.

The evaluated maximum loadability results in the three cases are 1.897, 1.581, and 1.122, respectively. It can be observed that the result in case 1 has a greater value than that in case 2 by more than 19.99%. Besides, the results in cases 1 and 2 are 69.07% and 40.91% greater than that in case 3, respectively. In summary, the proposed method could effectively prevent the network from collapsing caused by overestimating the maximum loadability.

C. Maximum Loadability Considering Rated Power Capability of DC-ES and Current Limitation of DCT in Meshed Network Powered by Multiple Power Sources

In this subsection, the effectiveness of the proposed method in a meshed network powered by multiple power sources is evaluated by closing the interconnection switches S1-S3 in Fig. 10. The output voltages of power sources I and II are kept constant. Figure 15 presents the voltage curves of the meshed network powered by multiple power sources with and without DC-ESs.

Fig. 15  Voltage curves of meshed network powered by multiple power sources with and without DC-ESs.

As depicted in Fig. 15, the values of λ corresponding to the bifurcation point of the voltage curve for meshed networks powered by multiple power sources with and without DC-ESs are 1.815 and 1.664, respectively. The former one is 0.151 greater than the latter. This phenomenon verifies that DC-ESs are also effective in a meshed network powered by multiple power sources, in term of enhancing the maximum loadability. In Fig. 16, the output power curves of the meshed network powered by multiple power sources are illustrated. Inflection points observed on the curves can be attributed to the same reasons that were analyzed in Section V-A.

Fig. 16  Output power curves of meshed network powered by multiple power sources.

To verify the advantages of the proposed method in a meshed network powered by multiple power sources, a comparison is made with the three cases mentioned in Section V-B. The voltage and output power curves of Bus 27 for these three cases in the meshed network powered by multiple power sources are shown in Fig. 17 and Fig. 18, respectively. In Fig. 17, the maximum values of λ in the three cases are 2.197, 1.814, and 1.153, respectively. The results for cases 1 and 2 are 90.55% and 57.33% higher than those in case 3, respectively. Compared with the radial network with single power source in Section V-B, the proposed method demonstrates a clearer advantage in avoiding estimation errors here.

Fig. 17  Voltage curves of Bus 27 in meshed network powered by multiple power sources in three cases.

Fig. 18  Output power curves of Bus 27 in meshed network powered by multiple power sources in three cases.

In general, the case studies have verified the effectiveness of the proposed method, in either radial networks with a single power source or meshed networks with multiple power sources.

D. Impact of DC-ES on Maximum Loadability of MVL-DC-DN

The impact of DC-ES on the maximum loadability is demonstrated as follows.

Figure 19 depicts the relationship among the maximum loadability, the voltage amplitude limit Veslim, and the power proportion α. For the convenience of analysis within the MVL-DC-DN, only one DC-ES is connected to Bus 27, with a rated power capability of 150 kW. The ranges of Veslim and α are [0.1, 0.8]p.u. and [0, 1], respectively. In Fig. 19(a), the DC-ES works as an ideal voltage source. Figure 19(a) illustrates that an increase in both Veslim and α leads to a larger maximum loadability, provided that the rated power capability of the DC-ES is not considered. While in Fig. 19(b), where the rated power capability of the DC-ES is considered, the maximum loadability is independent of Veslim and α after the rated power capability is reached.

Fig. 19  Relationship among maximum loadability, Veslim, and α. (a) Rated power capability of DC-ES is not considered. (b) Rated power capability of DC-ES is considered.

Figure 20 depicts the impact of Veslim and α on the growth rate with and without consideration of the rated power capability of the DC-ES. In Fig. 20, ΔλImax and ΔλIImax denote the impacts of Veslim and α on the growth rate of λmax, respectively, which are defined as:

ΔλImax(n1,n2)=λmax(Ves,n1+1lim,αn2)-λmax(Ves,n1lim,αn2) (33)
ΔλIImax(n1,n2)=λmax(Ves,n1lim,αn2+1)-λmax(Ves,n1lim,αn2) (34)

Fig. 20  Impact of Veslim and α on growth rate with and without consideration of rated power capability of DC-ES. (a) Impact of Veslim on growth rate without consideration of rated power capability of DC-ES. (b) Impact of α on growth rate without consideration of rated power capability of DC-ES. (c) Impact of Veslim on growth rate with consideration of rated power capability of DC-ES. (d) Impact of α on growth rate with consideration of rated power capability of DC-ES.

where λmax(Ves,n1+1lim,αn2) denotes the value of λmax with Ves,n1+1lim as the horizontal axis and with αn2 as the vertical axis.

As shown in Fig. 20(a) and (b), the growth rate decreases as Veslim increases. However, the growth rate increases with α, although the trend is not remarkable. In Fig. 20(c) and (d), the growth rate exhibits a similar pattern as observed in Fig. 20(a) and (b), respectively, until the rated power capability of the DC-ES is reached. Thereafter, the growth rate declines to 0. Therefore, to enhance the maximum loadability of the MVL-DC-DN by increasing the maximum voltage amplitude of the DC-ES, it can be inferred that when the maximum voltage amplitude exceeds a specific range, the cost effectiveness diminishes. The precise range value is determined by multiple influencing factors including load power and DC-ES location.

VI. Conclusion

The obtained conclusions from this paper are summarized as follows.

1) The maximum loadability of an MVL-DC-DN can be effectively enhanced by the DC-ES.

2) By considering the limitations of DC-ESs and current limitation of DCTs, the proposed method effectively avoids overestimating the maximum loadability of an MVL-DC-DN with DC-ESs, which is beneficial for preventing the network from collapsing.

3) The proposed method is suitable for both the radial network with a single power source and the meshed network powered by multiple power sources.

4) The cost effectiveness of increasing the maximum voltage amplitude of the DC-ES to enhance the maximum loadability diminishes after a specific range.

This paper lays a preliminary and essential foundation for the optimal configuration for DC-ESs in an MVL-DC-DN to enhance the maximum loadability.

Nomenclature

Symbol —— Definition
A. —— Symbols
S1es-S4es —— Switches of DC electric spring (DC-ES)
S1D-S8D —— Switches of dual active bridge (DAB)
Spass —— Bypass switch of DC-ES
S1-S3 —— Interconnection switches
B. —— Sets
E —— Set of buses with a type of V
E′ —— Set of buses with a type of Ves
E′′ —— Set of buses with a type of P
N —— Set of all buses
S —— Set of swing buses
C. —— Parameters
σ —— Step size for continuation power flow (CPF)
C —— Filter capacitor in DC-ES
C1D, C2D —— Capacitors in DAB
Edc —— Electromotive force of energy storage device in DC-ES
fs —— Switching frequency of DAB
Ilim —— Current limitation of DC transformer (DCT)
L —— Filter inductance in DC-ES
LD —— Auxiliary inductance of DAB
nh —— Turn ratio of high-frequency AC transformer in DAB
nc —— Controlled turn ratio between primary and secondary sides of DCT
PLini —— Initial power sum of non-critical load (NL) and critical load (CL)
PNLini —— Initial power of NL
PCLini —— Initial power of CL
Pb —— Baseline load power
Pesrate —— Rated power capability of DC-ES
R —— Line resistance
Ts —— Switching period of switches in DAB
VDC —— Output voltage of DC voltage source
Veslim —— Output voltage limit of DC-ES
x —— A constant value equaling to 1 or -1
Yloss —— Equivalent power loss admittance of DCT
D. —— Variables
α —— Proportion of increased NL power relative to total increased power, within 0-1
αi —— α for bus i
λ —— Load parameter
λmax —— Load parameter corresponds to the maximum load power a network can afford
λp —— Prediction value of λ
D —— Phase shift of DAB
fi —— Mismatch power for bus i
iL —— Filter inductance current
iLD —— Current on auxiliary inductance of DAB
i, j —— Index numbers of buses
IDC —— DC current on distribution line
n1, n2 —— Indexes of elements in vectors Veslim and α
PL —— Power sum of CL and NL
PLmax —— The maximum load power a network can afford
PNL —— Power of NL
PCL —— Power of CL
PNL,i —— Power of NL on bus i
Pb,i —— Baseline load power of bus i
PL,i —— Load power of bus i
Pes —— Power of DC-ES
Ptran —— Power transferred by DAB
Rsr —— Resistance between sending and receiving buses
Ri-1,i —— Branch resistance between bus i-1 and i
v1, v2 —— Voltages on primary and secondary sides of AC high-frequency transformer in DAB
Ves —— Voltage of DC-ES
Ves,i —— Voltage of DC-ES on bus i
Ves,ilim —— Voltage limitation of DC-ES on bus i
Vtarget —— Target voltage maintained by DC-ES
Vi —— Voltage of bus i
V1D, V2D —— Voltages on primary and secondary sides of DAB
Vs, Vr —— Voltages of sending and receiving buses
Yij —— Element in the ith row and jth column of admittance matrix of a DC distribution network (DC-DN)
Yijmod —— Element in the ith row and jth column of admittance matrix of a multi-voltage-level DC distribution network (MVL-DC-DN)
YijI/O —— Element in the ith row and jth column of input/output matrix of DCT
E. —— Vectors and Matrices
α —— Vector of proportion for increased NL power relative to total increased power
αdiag —— Diagonal matrix with α as diagonal elements
ΔC —— Vector of correction amount
ek, es, er, em —— Row vectors whose elements equal to 0 except the kth, sth, rth, or mth elements equal to 1
f —— Mismatch vector of power for buses
fλ —— Vector of partial derivative for f with respect to λ
fλ,I —— Matrix of partial derivative for f with respect to λ in Stage Ⅰ
fλ,II —— Matrix of partial derivative for f with respect to λ in Stage II
fλ,III —— Matrix of partial derivative for f with respect to λ in Stage III
fV —— Matrix of partial derivative for f with respect to bus voltage
fV,Ⅰ —— Matrix of partial derivative for f with respect to voltage in Stage Ⅰ
fV,II —— Matrix of partial derivative for f with respect to voltage in Stage II
fV,III —— Matrix of partial derivative for f with respect to voltage in Stage III
J —— Jacobian matrix in Stage I
JII —— Jacobian matrix in Stage II
JIII —— Jacobian matrix in Stage III
JCLV —— Jacobian matrix for current limitation violation
Pesrate —— Vector of rated power capability for DC-ESs
PL —— Vector of load power
PNL —— Vector of NL power
Pb —— Vector of baseline load power
Veslim —— Vector of DC-ES output voltage limit
V —— Vector of bus voltage
Ves —— Vector of DC-ES voltage
Vdiag —— Diagonal matrix with V as diagonal elements
Vesdiag —— Diagonal matrix with Ves as diagonal elements
Vp —— Vector of predicted bus voltage
YI/O —— Input/output matrix of DCT
Y —— Admittance matrix of a DC-DN
Ymod —— Admittance matrix of an MVL-DC-DN
Yjmod —— Vector formed by the ith-row elements of Ymod

References

1

J. Liao, N. Zhou, Z. Qin et al., “Power disequilibrium suppression in bipolar DC distribution grids by using a series-parallel power flow controller,” IEEE Transactions on Power Delivery, vol. 38, no. 1, pp. 117-132, Feb. 2023. [Baidu Scholar] 

2

Y. Xia, Y. Li, Y. Peng et al., “Circulating currents suppression based on two degrees of freedom control in DC distribution networks,” IEEE Transactions on Power Electronics, vol. 33, no. 12, pp. 10815-10825, Dec. 2018. [Baidu Scholar] 

3

X. Wang, Y. Peng, C. Weng et al., “Decentralized and per-unit primary control framework for DC distribution networks with multiple voltage levels,” IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 3993-4004, Sept. 2020. [Baidu Scholar] 

4

Y. Wu, X. Liang, T. Huang et al., “A hierarchical framework for renewable energy sources consumption promotion among microgrids through two-layer electricity prices,” Renewable and Sustainable Energy Reviews, vol. 145, p. 111140, Jul. 2021. [Baidu Scholar] 

5

X. Li, R. Ma, W. Gan et al., “Optimal dispatch for battery energy storage station in distribution network considering voltage distribution improvement and peak load shifting,” Journal of Modern Power Systems and Clean Energy, vol. 10, no. 1, pp. 131-139, Jan. 2022. [Baidu Scholar] 

6

K. T. Mok, M. Wang, S. Tan et al., “DC electric springs – a technology for stabilizing DC power distribution systems,” IEEE Transactions on Power Electronics, vol. 32, no. 2, pp. 1088-1105, Feb. 2017. [Baidu Scholar] 

7

M. Wang, K. T. Mok, S. Tan et al., “Multifunctional DC electric springs for improving voltage quality of DC grids,” IEEE Transactions on Smart Grid, vol. 9, no. 3, pp. 2248-2258, May 2018. [Baidu Scholar] 

8

M. Wang, S. Tan, C. K. Lee et al., “A configuration of storage system for DC microgrids,” IEEE Transactions on Power Electronics, vol. 33, no. 5, pp. 3722-3733, May 2018. [Baidu Scholar] 

9

M. Wang, S. Yan, S. Tan et al., “Hybrid-DC electric springs for DC voltage regulation and harmonic cancellation in DC microgrids,” IEEE Transactions on Power Electronics, vol. 33, no. 2, pp. 1167-1177, Feb. 2018. [Baidu Scholar] 

10

K. Gnanambal and C. K. Babulal, “Maximum loadability limit of power system using hybrid differential evolution with particle swarm optimization,” International Journal of Electrical Power & Energy Systems, vol. 43, no. 1, pp. 150-155, Dec. 2012. [Baidu Scholar] 

11

X. Chen, M. Shi, H. Sun et al., “Distributed cooperative control and stability analysis of multiple DC electric springs in a DC microgrid,” IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5611-5622, Jul. 2018. [Baidu Scholar] 

12

Y. Yang, S. Tan, and S. Hui, “Mitigating distribution power loss of DC microgrids with DC electric springs,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5897-5906, Nov. 2018. [Baidu Scholar] 

13

J. Liao, N. Zhou, Y. Huang et al., “Decoupling control for DC electric spring-based unbalanced voltage suppression in a bipolar DC distribution system,” IEEE Transactions on Industrial Electronics, vol. 68, no. 4, pp. 3239-3250, Apr. 2021. [Baidu Scholar] 

14

J. Liao, N. Zhou, Y. Huang et al., “Unbalanced voltage suppression in a bipolar DC distribution network based on DC electric springs,” IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1667-1678, Mar. 2020. [Baidu Scholar] 

15

D. Molzahn, B. Lesieutre, and C. de Marco, “A sufficient condition for power flow insolvability with applications to voltage stability margins,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2592-2601, Aug. 2013. [Baidu Scholar] 

16

O. D. Montoya, “Numerical approximation of the maximum power consumption in DC-MGs with CPLs via an SDP model,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 4, pp. 642-646, Apr. 2019. [Baidu Scholar] 

17

W. Wei, J. Wang, N. Li et al., “Optimal power flow of radial networks and its variations: a sequential convex optimization approach,” IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 2974-2987, Nov. 2017. [Baidu Scholar] 

18

P. Acharjee, “Identification of maximum loadability limit and weak buses using security constraint genetic algorithm,” International Journal of Electrical Power & Energy Systems, vol. 36, no. 1, pp. 40-50, Mar. 2012. [Baidu Scholar] 

19

G. Xing, Y. Min, L. Chen et al., “Limit induced bifurcation of grid-connected VSC caused by current limit,” IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2717-2720, May 2021. [Baidu Scholar] 

20

C. A. Canizares and F. L. Alvarado, “Point of collapse and continuation methods for large AC/DC systems,” IEEE Transactions on Power Systems, vol. 8, no. 1, pp. 1-8, Aug. 1993. [Baidu Scholar] 

21

V. Ajjarapu and C. Christy, “The continuation power flow: a tool for steady state voltage stability analysis,” IEEE Transactions on Power Systems, vol. 7, no. 1, pp. 416-423, Aug. 1992. [Baidu Scholar] 

22

R. J. Avalos, C. A. Canizares, F. Milano et al., “Equivalency of continuation and optimization methods to determine saddle-node and limit-induced bifurcations in power systems,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 56, no. 1, pp. 210-223, Jan. 2009. [Baidu Scholar] 

23

R. Krishan, A. Verma, and S. Mishra, “Loadability analysis of DC distribution systems,” International Journal of Electrical Power & Energy Systems, vol. 103, pp. 176-184, Dec. 2018. [Baidu Scholar] 

24

X. Kong, J. Zhang, J. Zhou et al., “Power and voltage control based on DC offset injection for bipolar low-voltage DC distribution system,” Journal of Modern Power Systems and Clean Energy, vol. 11, no. 4, pp. 1529-1539, Sept. 2023. [Baidu Scholar] 

25

B. Zhao, Q. Song, W. Liu et al., “Overview of dual-active-bridge isolated bidirectional DC-DC converter for high-frequency-link power-conversion system,” IEEE Transactions on Power Electronics, vol. 29, no. 8, pp. 4091-4106, Aug. 2014. [Baidu Scholar] 

26

N. Zhou, Y. Zhang, J. Liao et al., “Linearization formulation based power flow calculation of multiple-voltage grades bipolar DC distribution network considering control modes of DC transformer,” Proceedings of CSEE, vol. 42, no. 6, pp. 2070-2083, Mar. 2022. [Baidu Scholar] 

27

A. Garcés, “On the convergence of Newton’s method in power flow studies for DC microgrids,” IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5770-5777, Sept. 2018. [Baidu Scholar] 

28

B. T. Polyak, “Newton-kantorovich method and its global convergence,” Journal of Mathematical Sciences, vol. 133, no. 4, pp. 1513-1523, Mar. 2006. [Baidu Scholar] 

29

Z. Liu, X. Zhang, M. Su et al., “Convergence analysis of Newton-Raphson method in feasible power-flow for DC network,” IEEE Transactions on Power Systems, vol. 35, no. 5, pp. 4100-4103, Sept. 2020. [Baidu Scholar] 

30

Y. Zhou, Q. Wang, T. Huang et al., “Convex optimal power flow based on power injection-based equations and its application in bipolar DC distribution network,” Electric Power Systems Research, vol. 230, p. 110271, May 2024. [Baidu Scholar] 

31

J. O. Lee, Y. S. Kim, and J. H. Jeon, “Optimal power flow for bipolar DC microgrids,” International Journal of Electrical Power & Energy Systems, vol. 142, p. 108375, Nov. 2022. [Baidu Scholar]