Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

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Fault Location Method for Overhead Feeders with Distributed Generation Units Based on Direct Load Flow Approach  PDF

  • Charalampos G. Arsoniadis
  • Vassilis C. Nikolaidis (Senior Member, IEEE)
Department of Electrical and Computer Engineering, Democritus University of Thrace , Xanthi, AZ 67100, Greece

Updated:2024-07-26

DOI:10.35833/MPCE.2023.000379

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Abstract

This paper proposes a novel fault location method for overhead feeders, which is based on the direct load flow approach. The method is developed in the phase domain to effectively deal with unbalanced network conditions, while it can also handle distributed generation (DG) units of any type without requiring equivalent models. By utilizing the line series parameters and synchronized or unsynchronized voltage and current phasor measurements taken from the sources, the method reliably identifies the most probable faulty sections. With the aid of an index, the exact faulty section among the multiple candidates is determined. Extensive simulation studies for the IEEE 123-bus test feeder demonstrate that the proposed method accurately estimates the fault position under numerous short-circuit conditions with varying pre-fault system loading conditions, fault resistances, and measurement errors. The proposed method is promising for practical applications due to the limited number of required measurement devices as well as the short computation time.

I. Introduction

THE automated and precise localization of short-circuit faults in power distribution systems reduces the power supply restoration time, thus increasing the system reliability. In this regard, several methods have been developed so far for automated fault location in power distribution systems. In this paper, we apply the phasor-based fault location principle to develop an automated method which utilizes fundamental frequency phasors, extracted from signals measured from the field, and performs short-circuit theory calculations to estimate the exact fault distance.

The phasor-based fault location methods can be classified into bus-oriented [

1]-[10] and branch-oriented [11]-[20] methods. The bus-oriented methods apply appropriate short-circuit fault calculations based on the classical bus impedance matrix (Zbus) theory. The branch-oriented methods apply several modifications of the three-phase power flow algorithm to find equivalent load impedances at different buses, which are then used to calculate the fault quantities and estimate the fault distance. Typically, for radial feeders, the backward/forward sweep load flow (BFSLF) algorithm is applied [21], [22].

In this paper, the direct load flow (DLF) approach [

23] is modified to form a novel branch-oriented fault location method for radial overhead feeders with distributed generation (DG) units of any type, by using synchronized or unsynchronized measurements taken from the source buses. The DLF approach requires only the series impedance parameters of the line elements. Since overhead feeders do not have large capacitance to earth and the lengths of segments are relatively small, this assumption helps significantly improve the computation time of the proposed method. Moreover, DG units are handled as current injections. Hence, their models are not included in the mathematical formulation. Compared with the BFSLF algorithm, the proposed method does not require new data formatting/searching procedures; hence, the preparation and computation time is significantly reduced.

The proposed method identifies the exact fault location among the multiple estimates by using an error index for each candidate faulty section. The idea for this index originates in [

24], but in this paper, the existence of DG units is also considered in the calculations. Moreover, in this paper, the equivalent load impedance of each bus required for the calculation of the index is simply determined by utilizing the modified DLF method, while in [24], complex computations are performed.

By comparing the proposed method with those in [

1]-[20], the differences in Table I arise. Note that in Table I, CIDG stands for converter-interfaced DG; BU stands for bus-oriented fault location method; BR stands for branch-oriented fault location method; M stands for match rules for estimating the faulty bus; A is the analytical expression for estimating the faulty bus; A* is the analytical expression for estimating the exact fault location; abc stands for three-phase; M/S stands for multiple measurements (synchronized); M/U stands for multiple measurements (unsynchronized); M/S+U stands for multiple measurements (synchronized and unsynchronized); L/S stands for limited measurements (synchronized); L/U stands for limited measurements (unsynchronized); 2/S means that measurements from only 2 network points (locations) are required and these measurements must be synchronized; 1/- means that measurements from only 1 network point (location) are required; RL stands for resistor-inductor; and RLC stands for resistor-inductor-capacitor.

TABLE I  Comparative Review of Different Methods
ReferenceEvaluation aspect
TypeMeth-odSystemRotating DGCIDGMeasurement (points/type)Line modelMultiple estimation
[1] BU A* abc Yes No L/S RL No
[2] BU A* abc Yes No 2/S RL No
[3] BU M abc Yes No M/S RL No
[4] BU M abc Yes No M/S+U RL Yes
[5] BU M abc No No M/S RL No
[6] BU A abc Yes Yes M/U RL No
[7] BU A* abc Yes Yes L/S RLC Yes
[8] BU A* abc Yes Yes L/U RLC Yes
[9] BU A* abc Yes Yes L/S RLC Yes
[10] BU A* abc Yes Yes M/S RLC Yes
[11] BR A* abc Yes Yes L/S RLC No
[12] BR A* abc No No 1/- RLC No
[13] BR A* abc No No 1/- RL Yes
[14] BR A* abc No No 1/- RL No
[15] BR A* abc Yes Yes L/S RLC No
[16] BR A* abc No Yes 1/- RLC No
[17] BR A* abc Yes Yes L/U RL No
[18] BR M abc No No M/S RL No
[19] BR A* abc Yes Yes L/S RLC No
[20] BR M abc Yes Yes M/S RLC Yes
This paper BR A* abc Yes Yes L/S RL Yes

The contributions of this paper are summarized below.

1) The DLF approach [

23] is for the first time used in fault location. For this purpose, we have modified it to handle both synchronized or unsynchronized measurements and find the possible faulty sections.

2) A modified formulation of the error index with respect to that originally proposed in [

24] is made in this paper as part of the algorithm for elimination of multiple fault location estimations. The elimination of multiple solutions is not dealt with at all in [1]-[3], [5], [6], [11], [12], [14]-[17].

3) The proposed method can be equally applied to distribution systems with any type of DG units, i.e., synchronous-machine-based DG units and/or CIDG units, since the DG unit model is not required in the calculations. References [

5], [12]-[14], and [18] do not consider DG units at all, whereas [1]-[4] consider DG units by adopting a simplified voltage source behind an equivalent impedance model.

4) A limited number of synchronized or unsynchronized measurements taken from the source buses are required. On the contrary, the methods in [

3]-[6], [10], [18], and [20] require measurements from a large number of buses, whereas [3]-[5] strictly depend on synchronized measurements.

The structure of this paper is organized as follows. Section II gives the formulation of the fault location problem. The proposed method is thoroughly described in Section III. Section IV explains how unsynchronized phasors are handled properly. Section V presents the method for eliminating multiple solutions to identify the real faulty section among multiple candidates. Section VI gives an insight of how the method can be implemented in real-world feeders. Section VII presents the fault location results. Comparison with other fault location methods is conducted in Section VIII. Finally, Section IX concludes this paper.

II. Formulation of Fault Location Problem

Typically, most branch-oriented fault location methods for active distribution networks involve three discrete development stages: ① the derivation of the fault location equation, ② the calculation of the sending-end quantities of each successive line section, and ③ the estimation of the fault current contribution from the feeder area that is downstream to the fault position. These stages are analyzed below with respect to how they are realized by relevant fault location methods, in order to highlight the contribution of this paper.

A. Derivation of Fault Location Equation

Consider a purely resistive three-phase fault at distance d from the sending-end s of line section s-r, as shown in Fig. 1. The fault divides line section s-r into the subsections s-f and f-r. PS stands for power station.

Fig. 1  Examined line section s-r.

If the short-line model is used for representing each subsection, the voltage vector Vf=[Vfa,Vfb,Vfc]T (a, b, and c are three phases) at the fault position is expressed by the following matrix equation:

Vf=Vs-dzsrIsr (1)

where Vs=[Vsa,Vsb,Vsc]T is the voltage vector at the sending-end s of line section s-r; Isr=[Isra,Isrb,Isrc]T is the current vector of line section s-r; and zsr is the series impedance matrix.

The three-phase apparent power at the fault position is given by:

Sf=VfTIf*=(RfIf)ΤIf* (2)

where Rf is a 3×3 fault resistance vector; If=[Ifa,Ifb,Ifc]T is the fault current vector; and “*” denotes the conjugate of the current.

By combining (1) and (2), the following fault location equation is derived:

d=Im(VsTIf*)Im(IsrTzsrTIf*) (3)

where Im() defines the imagine part of a complex number.

If the π-line model is used for representing subsections s-f and f-r, the voltage at the fault location is given by:

Vf=D(d)Vs-B(d)Isr (4)
B(d)=dzsr (5)
D(d)=U+0.5d2zsrysr (6)

where U is a 3×3 unit matrix; and ysr is the series admittance matrix of line section s-r.

By combining (2) and (4), the quadratic fault location equation is derived as:

a2d2+a1d+a0=0 (7)
a2=Im(0.5VsTzsrysrIf*) (8)
a1=Im(-IsrTzsrIf*) (9)
a0=Im(VsTIf*) (10)

Equation (3) is utilized in [

17] and (7) is utilized in [7], [11], [12], [15] for determining the fault distance inside a line section. However, a different method for estimating the unknown quantities is used in both alternatives. The details of those different methods are addressed in the following two subsections.

B. Calculation of Sending-end Quantities

For each examined line section, both alternative fault location equations, i.e., (3) and (7), require the sending-end voltage and current to calculate the fault distance. For the first line section of a feeder, which departs from the main substation, these quantities are known from available voltage/current measurements. This is because measurement devices are always available at the substation. For all the remaining line sections, the sending-end voltage and current are calculated by using the measurements taken at the substation.

In [

11]-[14], this procedure is executed manually, through an iterative search process in the part of the feeder upstream to the fault position. This method is not feasible in cases of large feeders with many (sub)laterals and intermediate loads. Instead, in [15]-[17], the BFSLF algorithm is applied to the feeder that is upstream to the fault. The BFSLF algorithm requires only the voltage at the head of the feeder and estimates the line currents and bus voltages of the remaining system. A different method is applied in [6], where a reduced version of the original Zbus is used, reflecting the upstream part of the system.

C. Estimation of Fault Current Contribution from Downstream System

In order to solve (3) or (7), except from the sending-end quantities, the knowledge of the fault current If is required. The latter is given from the following equation:

If=Isr+Irf (11)

The sending-end current Isr is calculated as described in the previous subsection. Therefore, the only unknown in (11) is the current Irf flowing from the downstream system to the fault.

If DG units are absent in the area downstream to the fault position, the current Irf is the during-fault load current Ifrload. The latter has the opposite direction with respect to Ιrf, i.e.,

Irf=-Ifrload (12)

Since the pre-fault load current is different from the during-fault load current Ifrload, the latter is estimated in an iterative manner. This procedure requires the calculation of the equivalent circuit of the downstream feeder, as can be observed from the end-bus of each examined line section. In [

12], the equivalent circuit is obtained by equivalencing all the series and parallel elements of the downstream system. It is obvious that this method is not suitable for large distribution systems, and it can hardly be applied in practical applications. Instead, the BFSLF algorithm is used in [13] and [14] to obtain the equivalent circuits. However, the aforementioned papers do not consider DG sources.

If DG units are operating in the downstream system, the current Irf expresses the net remote infeed from those units during the fault:

Irf=iIDGi-Ifrload (13)

where i is the number of DG units connected downstream to the fault position; and IDGi is the current contribution of each of those DG units to the fault.

In [

15]-[17], the remote fault current contribution is estimated by applying the BFSLF algorithm in the downstream system, where the DG sources are handled as current injections. In [6], the reduced bus impedance matrix of the downstream system is used for estimating the infeed current Irf.

III. Proposed Fault Location Method

In this paper, we propose a fault location method by solving (3) (due to the short-line model adopted) for locating the fault inside a line section of a distribution feeder. Contrary to most of the relevant methods published in the literature, which apply the BFSLF algorithm for estimating the sending-end quantities and the remote infeed current, we apply a modified DLF approach [

23] for this purpose.

A. DLF Approach

The DLF approach directly updates and recalculates the branch currents and bus voltages by utilizing the bus-injection-to-branch-current matrix BIBC and branch-current-to-bus-voltage matrix BCBV, respectively [

23]. BIBC and BCBV are explained with the sample 4-bus power distribution network shown in Fig. 2.

Fig. 2  Sample 4-bus power distribution network.

The branch currents of this power distribution network can be expressed by the bus current injections, as shown in (14), where the upper triangular transformation matrix of 0 and 1 values is the BIBC matrix. Note that in (14), the branch/bus currents correspond to a 3×1 vector each, since all three phases are considered.

Ι12Ι23Ι24=111010001Ι2Ι3Ι4Ιij=BIBCΙj (14)

where Iij is the current flow on branch ij; and Ij is the load current supplied from bus j. The drop between the substation bus voltage and the voltage of each downstream bus is calculated through (15), where the lower triangular matrix is BCBV containing only the series impedance of the lines.

V1-V2V1-V3V1-V4=z1200z12z230z120z24Ι12Ι23Ι24ΔV1j=BCBVΙij (15)

where ΔV1j=V1-Vj is the voltage drop between bus 1 and bus j; and zij is the series impedance of line ij. The advantage of using the BIBC matrix is that branch current variations, caused by bus current variations, are calculated directly through (14); whereas in the BFSLF algorithm, multiple backward sweeps (equal to the number of line sections) are executed for the same purpose. With the use of the BCBV matrix, the voltage differences are calculated in one step through (15). In contrast, the BFSLF algorithm calculates the voltage differences, each at a time, by applying forward sweeps.

By combining (14) with (15), the following equation is derived:

ΔV1j=BCBVBIBCΙj=DLFΙj (16)

Equation (16) relates bus currents with bus voltages, through the DLF matrix, as an alternative to the original bus impedance matrix Zbus. The difference between those matrices is that DLF includes only the series impedances of the line sections.

In the next subsections, we present how the DLF approach is modified in this paper so that it can be separately applied to determine the sending-end quantities and the receiving-end during-fault current contribution for the upstream and downstream systems, respectively.

B. DLF in Upstream System to Determine Vs and Isr

Let us consider the sample distribution feeder shown in Fig. 3, which is subject to a fault at point f of line section s-r. The first line section (i.e., section 1-2) departs from the main substation, where voltages and currents are measured from voltage and current transformers, respectively, which are always available in the field. Hence, the sending-end voltage vector V1 and the sending-end current vector I12 for line section 1-2 are known (measured) quantities, respectively, i.e., V1=V1meas, I12=I1meas. For each other line section, e.g., for line section s-r, the corresponding during-fault sending-end voltage and current quantities, i.e., Vs and Isr, respectively, are calculated by applying the DLF approach for the network part upstream to bus s.

Fig. 3  Upstream system consideration.

The procedure adopted includes the following steps.

Step 1:   formulate the matrices BIBC1-s and BCBV1-s for the network part from bus 1 down to bus s.

Step 2:   if a DG unit is connected to bus g in the upstream network with respect to the fault point (g<s), set the during-fault bus current injection Ig to be equal to the measured current at the DG bus IDGgmeas.

Ig=-IDGgmeas (17)

Step 3:   formulate the during-fault voltage and current vector of all network buses 1,2,,s, which are located upstream to the examined line section s-r. The superscript k=0,1,2, is used in (18) and (19) because each upstream bus voltage/current, except for bus 1, will be calculated in an iterative manner in the next steps.

V1-sk=V1measV2kVskT (18)
I1-sk=I1measI2kIskT (19)

Step 4:   depending on load type, define the during-fault bus (load) currents in the upstream system with appropriate expressions. For instance, if bus j (j<s) is considered, then:

Ijk=[(Sja/Vjak)*(Sjb/Vjbk)*(Sjc/Vjck)*]T(CP)[(Vjak/zja)*(Vjbk/zjb)*(Vjck/zjc)*]T(CI)[IjaIjbIjc]T(CC) (20)

where CP, CI, and CC characterize the constant power, constant impedance, and constant current load, respectively; Sj is the per-phase complex power injected into bus j; and zj is the per-phase impedance of the load connected to bus j.

Step 5:   at the initial step (k=0), set each bus voltage equal to the measured bus voltage V1meas. In matrix form, we have:

V1-s0=V1measV20Vs0T=V1measV1measV1measT (21)

Step 6:   the matrix of the initially estimated during-fault bus currents flowing in the upstream network is derived from (20) by replacing the voltages with their initially estimated during-fault value (except for CC loads):

I1-s0=I1measI20Is0T (22)

Step 7:   calculate the during-fault sending-end current of the examined section s-r as:

Isrk=I1meas+IDGgmeas-j=2sIjk    k=0,1,2, (23)

Step 8:   update the bus voltage vector directly as:

V1-sk+1=V1-sk-ΔV1-sk (24)
ΔV1-sk=BCBV1-sBIBC1-sI1-sk (25)

where ΔV1-sk is the vector of voltage drop between the substation bus (bus 1) and each downstream bus (up to bus s).

Step 9:   if V1-sk+1V1-sk, report the calculated during-fault sending-end voltage Vscalc=Vsk+1 and current Isrcalc=Isrk+1 of section s-r; else, go to Step 3.

C. DLF in Downstream System to Determine d and Irf

The receiving-end current Irf is required to calculate the total fault current through (11). The current Irf is estimated by applying the DLF approach for the network part downstream to pseudo-bus f, as shown in Fig. 4.

Fig. 4  Downstream system consideration.

This procedure includes the following steps.

Step 1:   formulate the matrices BIBCf-n and BCBVf-n for the network part from pseudo-bus f down to the remotest bus n.

Step 2:   if a DG unit is connected to bus m in the downstream system (m>f), set the during-fault bus current injection Im equal to the measured current at the DG bus.

Im=-IDG,mmeas (26)

Step 3:   formulate the during-fault voltage and current vectors of all network buses f, f+1, , n, which are located downstream to the examined fault position.

Vf-nk=VfkVf+1kVnkT (27)
If-nk=IfkIf+1kInkT (28)

Step 4:   at the initial step (k=0), set the initial per unit fault distance estimation to be 0, i.e., d0=0.

Step 5:   calculate the fault point voltage Vfk for dk (k=0, 1, 2, ) from the following equation:

Vfk=Vscalc-dkzsrIsrcalc (29)

where Vscalc and Isrcalc have been calculated as addressed in the previous subsection.

Step 6:   set the initially estimated voltages of each downstream bus equal to the fault point voltage Vf0.

Vf-n0=Vf0Vf+10Vn0T=Vf0Vf0Vf0T (30)

Step 7:   depending on the load type, calculate the initially estimated during-fault bus (load) currents through (20) using the bus voltages of (30).

Step 8:   update the bus voltages directly as:

Vf-nk+1=Vf-nk-ΔVf-nk (31)
ΔVf-nk=BCBVf-nBIBCf-nIf-nk (32)

Step 9:   if Vf-nk+1Vf-nk, calculate the branch currents directly from (33) and report the receiving-end current Irf=-Ifr as retrieved by (34); else, go to Step 7.

Ifrk=BIBCf-n·Irk (33)
Ifrk=Ifrk(1,1) (34)

Step 10:   using the receiving-end current Ifrk, update the fault current Ifk through:

Ifk=Isrcalc+Irfk (35)

Step 11:   calculate the fault location from:

dk=Im((Vscalc)T(Ifk)*)Im((Isrcalc)TzsrT(Ifk)*) (36)

Step 12:   if dk+1dk and 0<dk+11, report the faulty section s-r and the fault distance; else, go to Step 5.

IV. Handling Unsynchronized Measurements

The proposed method requires voltage and current phasor measurements taken from the substation, and current phasor measurements taken from the DG units. For the sake of simplicity, these phasor measurements are considered synchronized in this section. In the general case where measurements are unsynchronized, the proposed method can still be applied but the power factor angles of the DG units are also required. This will be described in the rest of this section.

Assume the distribution feeder shown in Fig. 3. The substation bus 1 is taken as the reference bus. Therefore, its voltage angle is zero (δ1=0) and all other bus voltage angles are measured with respect to the reference angle.

To impose a synchronization error on the measured phasors (expressed by superscript “err”), we multiply these phasors with an exponential operator:

V1err=V1e-j0Ι1err=Ι1e-j0 (37)
Vgerr=Vge-jδgΙDGgerr=ΙDGge-jδg (38)
Vmerr=Vme-jδmΙDGmerr=ΙDGme-jδm (39)

As can be observed, besides currents measurement, the voltage measurements are also required for the DG units. Note that voltage and current measurements are always available in DG plants. Furthermore, we assume random error angles δg and δm for the measurements taken from the DG units. We further assume that the measurements at substation (bus 1) are synchronized.

The power factor angles of DG units g and m are given by:

φg=angle(Vg)-angle(Ιg) (40)
φm=angle(Vm)-angle(Ιm) (41)

This angle separation is calculated from the voltage/current phasor measurements, reaching a relatively large value during faults. Note also that angles φg and φm are the same despite whether we assume the angle error in the voltage/current phasors or not.

The measured current phasors of the DG units can now be expressed as:

ΙDGgerr=ΙDGge-j(δg+φg) (42)
ΙDGmerr=ΙDGme-j(δm+φm) (43)

In (42) and (43), δg and δm are unknown quantities that will be estimated as explained below.

In the first iteration (k=0) of the fault location method described in Section III, we assume that δg=δm=0. Then, the terms ΙDGgerr and ΙDGmerr are calculated and used in the algorithmic steps. In the next iterations (k=1,2,3,), δg and δm are updated using the new estimation of the DG bus voltages retrieved from (24) or (31):

δgk=angle(Vgk) (44)
δmk=angle(Vmk) (45)

It should be noted that φg and φm remain constant. Meanwhile, Vg and Vm are recalculated during the execution of the fault location algorithm until the condition of Step 9 is satisfied. This is achieved when δik+1δik,i=g,m.

V. Elimination of Multiple Solutions

A. Principle

By applying the proposed method to each line section successively, multiple acceptable fault distance estimation solutions may be obtained. Hence, multiple possible faulty sections may be identified. To deal with this problem, i.e., to identify the exact faulty section and the exact fault position inside this section, a fault distance estimation error index (FDEEI) is introduced:

FDEEI=0.5dme=12dm-de (46)

where dm and de are the fault distances estimated from the main and extra fault location equations (see Table II), respectively.

This index is based on the concept that extra linear independent fault location equations can be obtained from each phase (faulty and nonfaulty) if they are considered individually [

24]. Based on this concept, the extra fault location equations of Table II are obtained by analyzing the sending-end voltage equation referring to the faulty section. Note that in Table II, AG, ABG, and ABCG stand for single-phase-to-ground, two-phase-to-ground, and three-phase-to-ground faults, respectively; and AB stands for phase-to-phase fault.

TABLE II  Extra Fault Location Equations
Fault typeExtra fault location equation 1Extra fault location equation 2
AG ImVa-Vb+VcIa+BIbIa+CIcIaIm(zaa-zba+zca+A) ImVa+Vb-VcIa-BIbIa-CIcIaIm(zaa+zba-zca+A)
AB/ABG ImVa-VbIa-IbImDIa+EIb+FIcIa-Ib ImVa-Vb-VcIa-Ib+(zcc+zLc)IcIa-IbIm(D-zca)Ia+(E-zcb)Ib+FIcIa-Ib
ABC/ABCG ImVb-VcIb-IcImGIa+HIb+JIcIb-Ic ImVc-VaIc-IaImKIa+LIb+MIcIc-Ia

Note:   variables and parameters are defined in [

24
].

The FDEEI is calculated every time a possible faulty section is reported, e.g., at Step 10 of the algorithm for the downstream system. The lower FDEEI indicates the faulty section.

B. Fault Type Identification

For the calculation of the FDEEI, the fault type should be identified through the voltage and current phasor measurements, i.e., V1 and I1, taken from the main substation. In fact, the fault type is determined by calculating and observing the following quantities from the measurements V1 and I1:

1) The phase-angle difference φΙs,21 between the superimposed negative- (I12,s) and positive-sequence (I11,s) current phasors.

2) The phase-angle difference φΙs,20 between the superimposed negative- (I12,s) and zero-sequence (I10,s) current phasors.

3) The phase-angle difference φV,21 between the negative- (V12) and positive-sequence (V11) voltage phasors.

4) The phase-angle difference φV,20 between the negative- (V12) and zero-sequence (V10) voltage phasors.

Table III shows the range of phase-angle differences for each fault type [

25].

TABLE III  Range of Phase-angle for Each Fault Type
Fault typeφΙs,21 (°)φΙs,20 (°)φV,21 (°)φV,20 (°)
AB 45-75 180-300
BC 165-195 -60-60
CA -75--45 60-180
ABG 45-75 90-150 180-300 30-150
BCG 165-195 -30-30 -60-60 -90-30
CAG -75--45 210-270 60-180 150-270
AG -15-15 -30-30 150-270 -90-30
BG 105-135 210-270 -90-30 150-270
CG 225-255 90-150 30-150 30-150

VI. Implementation Aspects

Figure 5 illustrates the flowchart of the proposed method. Figure 6 shows the implementation scheme of this method. FL is the abbreviation of fault locator, which is a dedicated substation computer executing the fault location algorithms addressed in this paper.

Fig. 5  Flowchart of proposed method.

Fig. 6  Implementation scheme.

The required voltage and current phasors are gathered on this substation computer. As already addressed in the previous sections, these phasors may be time-stamped or not. If synchronized phasors are available or desirable, then measurement devices such as micro phasor measurement units (μPMUs) should be utilized. These devices will provide time-stamped voltage/current phasors with a common time reference like that determined by the global positioning system (GPS). If no synchronization means are available or desirable, then voltage/current phasor measurements are locally collected and asynchronously sent to the FL. The FL will artificially align the phasors in time by following the methodology described in Section IV.

We emphasize here that no voltage/current measurements are required from any other point along the feeder. Only phasor measurements from the sources (i.e., from the main substation and the connected DG units) are required. In actual power distribution network, it is impossible to find a DG power plant without voltage and current measurement devices. Voltage and current measurements are required to implement the protection system of the generation units. Moreover, voltage and current measurements are required to measure the active/reactive power produced by the unit at the point of connection with the distribution system for regulatory and/or financial reasons. The same is true for the main substation. In addition, it is impossible that voltage/current sensors are unavailable in the main high-voltage/medium-voltage (HV/MV) power distribution substation for similar reasons.

In addition, it must be emphasized that the proposed method is not designed as a real-time application. Low-speed data communications can be applied for data gathering, which significantly differs from communication channels used for real-time applications. Moreover, the fault location is considered to run offline, just after a fault occurs in the distribution system. Hence, although fault location time is important for service restoration and we are interested in developing a time-efficient method, there are always different time requirements compared with those for fault protection.

VII. Fault Location Results

A modified version of the IEEE 123-bus test distribution feeder model, as shown in Fig. 7, is considered for the simulation studies [

26]. In this model, the voltage regulators are removed, whereas the only cable lateral 63-70 has been replaced by an overhead line. Four DG units are connected to buses 31, 54, 87, and 99. The sources connected to buses 31 and 54 are CIDG units, modeled as in [8], while those connected to buses 87 and 99 are synchronous-machine-based units modelled as Thevenin-based DGs.

Fig. 7  Modified IEEE 123-bus test distribution feeder model.

The performance of the proposed method is evaluated with the aid of the fault distance estimation accuracy error (FDEAE):

FDEAE=da-dm×100% (47)

where da is the actual fault distances.

The elimination methodology for multiple solutions is evaluated based on how reliably the FDEEI performs, i.e., how often a false section is identified.

A. Performance Εvaluation

First, we evaluate the performance of the proposed method for solid faults and synchronized phasor measurements. More complex conditions will be investigated next.

To this end, all common fault types are simulated on different line sections and locations. The proposed method is applied for each simulated fault scenario. Due to space limitations, indicative results are shown in Table IV. Specifically:

TABLE IV  Fault Location Results
Faulty section/da/section length (m)Fault type

Estimated faulty

sections

Estimated fault positionFDEEI (%)FDEAE (%)
dmd1d2
90-91/0.4/137.16 AG

82-84

90-91

103-104

113-120

0.8886

0.4083

0.8743

0.2189

0.5413

0.4138

0.0089

0.1989

0.3287

0.4320

0.0124

0.1880

0.5104

0.0486

0.9878

0.1164

0.83
AB

69-70

82-84

90-91

103-104

113-120

0.6790

0.8240

0.3837

0.5908

0.2262

0.1798

0.4485

0.3462

0.5739

0.7159

0.0952

0.3793

0.3195

0.4874

0.6834

0.7975

0.4977

0.1325

0.1018

2.0931

1.63
ABG

82-84

90-91

103-104

113-120

0.8416

0.3858

0.7455

0.1765

0.6953

0.3582

0.7023

0.0932

0.6482

0.3532

0.6782

0.0025

0.2019

0.0780

0.0741

0.7288

1.42
ABC

90-91

113-120

0.4074

0.2360

0.4162

0.3154

0.4209

0.3378

0.0273

0.3840

0.74
ABCG

82-84

90-91

103-104

113-120

0.8874

0.3803

0.7199

0.2001

0.6742

0.3783

0.6742

0.4290

0.7194

0.3449

0.6563

0.4863

0.2148

0.0995

0.0759

1.2869

1.97
113-120/0.3/304.8 AG

84-85

90-91

104-105

113-120

0.0264

0.5817

0.0439

0.2905

0.1906

0.4385

0.1348

0.3212

0.1455

0.4104

0.1276

0.3109

5.3655 0.2703

1.9886

0.0878

0.95
AB

69-70

82-84

90-91

104-105

113-120

0.8736

0.9716

0.4320

0.4355

0.2965

0.5586

0.6173

0.3956

0.6521

0.2641

0.5168

0.5873

0.3682

0.7632

0.2407

0.3845

0.3801

0.1160

0.6249

0.1488

0.35
ABG

90-91

104-105

113-120

0.5917

0.0402

0.3006

0.6400

0.3193

0.3054

0.6173

0.5632

0.2883

0.0624

9.9764

0.0509

0.06
ABC

90-91

104-105

113-120

0.5489

0.0291

0.2984

0.4193

0.7391

0.3093

0.4297

0.8621

0.3103

0.2357

26.512

0.0382

0.16
ABCG

90-91

104-105

113-120

0.5702

0.0258

0.2982

0.2903

0.4721

0.2917

0.3683

0.4316

0.3023

0.4225

16.513

0.0295

0.18
93-95/0.5/68.58 AG

85-86

93-95

82-83

113-120

0.5371

0.5227

0.3572

0.5897

0.6406

0.5572

0.4738

0.5471

0.8402

0.4963

0.4194

0.5603

0.3785

0.0583

0.2503

0.0610

2.27
AB

82-83

85-86

93-95

113-120

0.7528

0.6238

0.5312

0.6783

0.1998

0.5952

0.5462

0.3865

0.0743

0.6376

0.5274

0.8753

0.8179

0.0340

0.0177

0.3603

3.12
ABG

85-86

93-95

103-104

110-113

0.4532

0.4744

0.5467

0.3982

0.7535

0.4582

0.6054

0.2784

0.8637

0.4532

0.5692

0.7654

0.7842

0.0394

0.0743

0.6115

2.56
ABC

82-84

93-95

101-106

103-104

0.0231

0.5238

0.9721

0.3476

0.0193

0.4976

0.7823

0.5432

0.0694

0.5672

0.8725

0.0675

1.0844

0.0664

0.1489

0.6843

2.38
ABCG

85-86

93-95

103-104

113-120

0.0954

0.4784

0.0432

0.3721

0.1474

0.4742

0.0542

0.4582

0.6521

0.4489

0.0998

0.5783

3.1903

0.0352

0.7824

0.3928

2.16

1) In the first column of Table IV, the actual faulty section and fault distance da, as well as the length of the examined line section, are presented.

2) In the second column, the considered fault type is shown.

3) The solutions dm and de (e=1, 2) resulting from the main and the extra fault location equations, respectively, are shown in the next three columns of Table IV.

4) The FDEEI and FDEAE are included in the last two columns of Table IV. It is noted that when multiple possible faulty sections are estimated, the bolded values indicate the finally estimated faulty line section (based on the FDEEI) and the exact fault distance.

The results of Table IV show that the FDEEI correctly identifies the actual faulty section in almost all cases. In fact, among all the examined cases (250 in total), there are only three fault scenarios shown in Table IV, i.e., 90-91/0.4/137.16/AB, 90-91/0.4/68.58/ABCG, and 113-120/0.3/304.8/AB, where FDEEI wrongly identifies the faulty section. This is a really great performance considering the multi-branch nature and size of the test feeder.

Moreover, the calculated FDEAE is low, clearly demonstrating the high accuracy of the proposed method. Generally, larger values of FDEAE are calculated at the shortest line sections. For the longest line section 113-120, which is also the remotest, the FDEAE is extremely low.

Since a significant dependence between the FDEAE and the line section length arises, to investigate deeper the accuracy of the proposed method, we calculate the mean value of the FDEAE with respect to different line section lengths. For this purpose, solid faults of all types are considered in the middle of 50 different line sections. Table V presents the mean value of FDEAE as calculated for four different line section lengths. The titles in the last four columns are the line section length/number of lines in each class. For the shortest line section, a maximum error of 2.43% is observed, whereas for line sections with a length in the range of 76.2-228.6 m, the error is in the order of 1.5%. In general, the accuracy is satisfactory for all line section lengths.

TABLE V  Mean Value of FDEAE
Fault typeMean value of FDEAE (%)
l-250/5250-500/5500-750/55750-1000/5
AG 1.56 1.39 1.21 0.75
AB 2.43 1.83 1.69 1.27
ABG 2.28 1.82 1.75 1.31
ABC 1.16 0.88 0.73 0.45
ABCG 1.29 0.72 0.59 0.37

B. Sensitivity Analysis

Sensitivity analysis is made for the case leading to the largest FDEAE between all the examined cases, that is, the case of a fault in the middle (d=0.5 p.u.) of section 93-95.

1) Effect of Fault Resistance

In order to investigate the impact of fault resistance on FDEAE, the ground and phase faults with different fault resistances are examined.

Please note that the Greek distribution system operator considers a maximum of 40 Ω for ground faults in short-circuit studies. 40 Ω is also the maximum fault resistance magnitude adopted worldwide in protection design studies as stated in [

27]. Moreover, for typical medium-voltage overhead pole configurations, the maximum possible fault resistance is in the order of 10 Ω. Hence, in this paper, neutral-to-ground fault resistances in the range of 0-50 Ω are considered for ground faults. For phase faults, inter-phase fault resistances between 1 Ω and 10 Ω are considered.

From the results in Fig. 8, it is evident that as the fault resistance increases, the FDEAE also increases for all fault types. It is also shown that ground faults are less affected from fault resistance compared with phase faults. In all cases, the FDEAE remains below 7% for any fault type and fault resistance, which is a quite acceptable performance.

Fig. 8  Effect of fault resistance on FDEAE. (a) Ground fault. (b) Phase fault.

2) Effect of Synchronization Errors

We assume that the voltage phasors measured at source buses 31, 54, 87, and 99 have a synchronization error which is given by the error angles (δ31, δ54, δ87, δ99), respectively, as shown in Table VI. The results clearly show that the performance of the proposed method is practically insensitive to synchronization errors.

TABLE VI  Effect of Synchronization Errors on FDEAE
Faulty section/da/section length (m)Fault typeFDEAE with different (δ31, δ54, δ87, δ99) (%)
(0, 0, 0, 0)(1.8°, 3.6°, 5.4°, 7.2°)(9.0°, 10.8°, 12.6°, 14.4°)(3.0°, 12.1°, 31.2°, 23.4°)
93-95/0.5/68.58 AG 2.27 2.27 2.27 2.27
AB 3.12 3.12 3.12 3.12
ABG 2.56 2.56 2.56 2.56
ABC 2.38 2.38 2.38 2.38
ABCG 2.16 2.16 2.16 2.16

3) Effect of Load Variation

A uniform decrease/increase of all load impedances, corresponding to a load variation up to 25% with respect to the initial power consumption, is considered. Figure 9(a) shows that a pre-fault load variation certainly influences the accuracy of the proposed method. For the worst case of 25% load variation, FDEAE does not exceed 10.5%.

Fig. 9  Effect of load variation on FDEAE. (a) Uncompensated load. (b) Compensated load.

Since this error is relatively large, we consider following the load compensation method in [

28].

This method uses measurements taken from the substation to calculate a load factor, which is used to compensate the loads in the calculations. With this method, the FDEAE remains below 5.3% for all fault types (Fig. 9(b)), which is a quite acceptable value.

4) Effect of Measurement Errors

The proposed method utilizes the during-fault voltage and current measurements from the substation (bus 1), as well as the during-fault current and power factor angle measurements from all the DG sources.

To evaluate the performance of the proposed method under measurement errors, seven different measurement error scenarios (scenario 1-7) are considered. Scenario 1 refers to the case without any measurement error in the signals. Table VII shows the phasor magnitude variation for each scenario. The calculated FDEAE is illustrated in Fig. 10, which certainly increases under such errors. However, the algorithm still responses reliably.

TABLE VII  Phasor Magnitude Variations for Each Scenario
ScenarioPhasor magnitude variations (%)
V1 and I1I31I54I87I99
1 0 0 0 0 0
2 +1 0 0 0 0
3 +3 0 0 0 0
4 +5 0 0 0 0
5 +1 -1 -1 -1 -1
6 +3 -1 -1 -1 -1
7 +5 -1 -1 -1 -1

Fig. 10  Effect of measurement error on FDEAE.

5) Effect οf Line Parameter Errors

The proposed method utilizes the series line parameters to derive the matrices BCBV and BIBC. These parameters may change in overhead lines constantly, e.g., due to changes in ambient temperature. For this purpose, we investigate the performance of the proposed method with such line parameter errors.

The IEEE 123-bus test distribution feeder is made up of 11 different overhead line configurations [

26]. Table VIII lists the line parameter error scenarios for all overhead line configurations 1-11. Specifically, scenario 1 refers to the line parameters as given in [26], whereas a percentage change on the per-unit length impedance is imposed to all line section configurations in the rest of the scenarios.

TABLE VIII  Line Parameter Error Scenarios
ScenarioLine impedance variation for line configurations (%)
No. 1No. 2No. 3No. 4No. 5No. 6No. 7No. 8No. 9No. 10No. 11
1 0 0 0 0 0 0 0 0 0 0 0
2 +1 +1 -1 +1 -1 -1 +1 +1 -1 +1 -1
3 +2 -2 +1 +3 -2 +3 -3 +1 +2 -1 +3
4 +3 +4 -2 -3 +3 +4 -2 +3 +3 -4 -2
5 +5 -4 +5 -2 +3 +5 -4 +3 +5 -2 +4

From the results, it is shown that the FDEAE increases as the percentage error in line parameters increases, as shown in Fig. 11. For scenario 5 where the largest line parameter errors are encountered, the FDEAE reaches the maximum value of 9.5%. The latter is acceptable for such a large parameter error.

Fig. 11  Effect of line parameter error on FDEAE.

VIII. Comparison with Other Methods

A. Fault Location Estimation Performance

In this subsection, we compare the proposed method with the methods in [

10] and [29]. Reference [10] applies a fault location method that is based on synchronized voltage phasor measurements and the use of monitoring devices along the feeder. Reference [29] applies a time-domain fault location method to find the fault location in distribution systems based on the determination of the line parameters under uncertainty. There are differences between these methods: the method in [10] requires a larger number of monitoring devices, i.e., 16, 21, and 31 devices, and optimization of their locations, which strongly depends on the distribution system examined; whereas the method in [29] does not use fundamental-frequency measurements as our method.

We modified the IEEE 123-bus test distribution feeder to exactly match the pre-/during-fault network conditions (DG production, topology, and fault type/phase/resistance) in [

10] and [29]. Tables IX and X depict the comparison results with the methods in [10] and [29], respectively. In Table X, the error equals FDEAE/L, where L=11.8 km is the total feeder length.

TABLE IX  Comparison with Method in [10]
Fault typeFDEAE with Rf=0.1 Ω (%)FDEAE with Rf=20 Ω (%)FDEAE with Rf=50 Ω (%)FDEAE with Rf=100 Ω (%)
Method in [10]Proposed methodMethod in [10]Proposed methodMethod in [10]Proposed methodMethod in [10]Proposed method
AG 10.92 2.21 5.11 3.89 5.16 5.93 5.14 7.21
ABG 7.41 2.30 4.61 4.17 5.21 6.76 4.50 7.58
AB 9.48 3.17 4.80 7.15 4.90 8.24 5.17 9.24
ABCG 4.86 2.19 4.96 3.92 4.73 5.89 4.56 6.77
TABLE X  Comparison with Method in [29]
LocationFault typeError with Rf=0 (%)Error with Rf=0.1 Ω (%)Error with Rf=1 Ω (%)Error with Rf=5 Ω (%)Error with Rf=100 Ω (%)
Method in [29]Proposed methodMethod in [29]Proposed methodMethod in [29]Proposed methodMethod in [29]Proposed methodMethod in [29]Proposed method
1-2 AG 0.261 0.075 0.249 0.075 0.254 0.086 0.263 0.095 0.287 0.170
ABCG 0.148 0.100 0.149 0.101 0.151 0.122 0.143 0.130 0.164 0.161
AB 0.198 0.157 0.201 0.159 0.204 0.172 0.210 0.210 0.229 0.303
12-14 AG 0.222 0.011 0.228 0.012 0.231 0.030 0.229 0.046 0.236 0.122
ABCG 0.124 0.072 0.123 0.072 0.123 0.089 0.123 0.099 0.129 0.127
AB 0.161 0.119 0.161 0.120 0.162 0.151 0.163 0.162 0.169 0.201
34-35 AG 0.246 0.071 0.246 0.072 0.247 0.082 0.247 0.097 0.251 0.185
ABCG 0.181 0.098 0.181 0.099 0.181 0.111 0.182 0.131 0.188 0.179
AB 0.210 0.144 0.210 0.146 0.210 0.164 0.211 0.198 0.216 0.222
70-73 AG 0.223 0.069 0.223 0.070 0.223 0.081 0.223 0.101 0.224 0.209
ABCG 0.177 0.111 0.177 0.111 0.177 0.124 0.177 0.142 0.181 0.187
AB 0.214 0.151 0.214 0.152 0.214 0.161 0.214 0.195 0.218 0.235
99-100 AG 0.281 0.114 0.281 0.117 0.281 0.125 0.281 0.139 0.281 0.199
ABCG 0.201 0.082 0.201 0.086 0.201 0.097 0.201 0.111 0.202 0.195
AB 0.255 0.187 0.255 0.205 0.255 0.221 0.255 0.253 0.258 0.303
45-47 AG 0.232 0.088 0.234 0.089 0.239 0.100 0.241 0.121 0.260 0.211
ABCG 0.131 0.102 0.131 0.103 0.131 0.113 0.132 0.128 0.136 0.198
AB 0.176 0.121 0.176 0.123 0.176 0.143 0.176 0.176 0.178 0.256

Table IX shows that the proposed method performs better for fault resistances up to 20 Ω, whereas when fault resistance increases, the performance of the method in [

10] is better. Table X shows that the proposed method performs better than the method in [29] in most cases. Only for a large fault resistance equaling to 100 Ω, there exist some cases (shown with bolded fonts) where the method in [29] outperforms the proposed method in this paper; but still, the fault distance errors are very close.

However, we would like to state at this point that as addressed in Section VII-B-1), the proposed method in this paper is expected to accurately locate phase faults with a fault resistance up to 10 Ω and ground faults with a fault resistance up to 40 Ω. Larger phase fault resistances are not expected, whereas dealing with ground faults with a resistance larger than 40 Ω is a totally different topic in protection, since sensitive earth relays are required for fault clearance while fault location is challenging for high-resistance magnitudes.

B. Computational Performance

One of the main advantages of the proposed method is that the DLF approach in it reduces substantially the computation time. This is clearly shown in Table XI.

TABLE XI  Computation Time
Fault typeComputation time (s)
Basic algorithmAlgorithm for elimination of multiple estimations
AG 2.0527 4.3423
AB 2.0527 4.2612
ABG 2.0527 4.2612
ABC 2.0527 4.2932
ABCG 2.0527 4.2932

IX. Conclusion

The DLF approach is modified in this paper to be used in the proposed fault location method for overhead feeders of power distribution networks. Extensive simulation runs conducted for the modified IEEE 123-bus test distribution feeder under various pre-fault network conditions, fault resistances, and measurement errors show the good performance of the proposed method. The results show that the proposed method finds the exact faulty section and the fault distance inside this section accurately. It is also shown that the proposed method is insensitive to the most challenging error factors. The limited number of synchronized measurements required makes this method attractive for practical application.

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