Abstract
The design of an effective protection system for inverter-based microgrids is a complicated engineering challenge. This is due to the fact that inverters have limited fault current capabilities, and that the conventional overcurrent protection is not suitable for inverter-based microgrids. This paper introduces a novel protection method for inverter-based microgrid using a current-only polarity comparison. The proposed method is based on the phase difference between the pre-fault and fault current components. The method responds to faults in both grid-connected and autonomous operation modes and provides a new way to identify faulted sections. Simulations of an inverter-based microgrid with a relay model are conducted using PSCAD/EMTDC software. The results show that the proposed method can detect faults in inverter-based microgrids.
IN recent years, there have been significant changes in power systems, as centralized generation facilities have been replaced by smaller, more distributed energy resources (DERs). In particular, an increasing number of DERs have been integrated into distribution systems. Most DERs employ renewable energy resources such as photovoltaic (PV) generation, wind turbine generation and combined heat and power. The utilization of DERs confers many advantages such as reducing transmission losses, improving power quality, and interfacing with clean energy (e.g., wind and solar). Furthermore, a cluster of loads and DERs operates safely and efficiently within a local distribution network but can also be operated in the islanded mode in a small area of distribution networks, a configuration known as a microgrid [
The protection system for inverter-based microgrids must ensure the safe operation in both grid-connected and autonomous modes, and respond to both grid and microgrid faults [
The protection methods for inverter-dominated microgrids can be classified into directional overcurrent relay based method, distance relay based method, current differential based method, voltage based method, traveling wave based method and fault current source based method. Reference [
Reference [
During the fault period in a microgrid, the protection based on abc-dq transformation of the voltage waveforms can identify a short-circuit fault and facilitate the discrimination between faults that are either inside or outside of a set zone of the microgrid [
Reference [
A fault current source (FCS) can offer a large fault current in the case of a fault, and ensure the operation of the overcurrent relay [
The application of voltage information as a reference quantity for the detection of fault direction is a common practice in transmission lines. Nevertheless, this approach is not applicable in distribution networks due to the absence of potential transformers. Therefore, it is necessary to use the current-only polarity comparison for microgrids.
This paper presents a novel protection method for inverter-based microgrids using a current-only polarity comparison. The proposed method is based on the phase difference between the pre-fault current and the fault current components. The angle difference between the pre-fault current and the fault current components can be used to identify the faulted section. The proposed protection method can respond to faults in both grid-connected and autonomous operation modes.
The remainder of this paper is organized as follows. Section II provides an overview of the major protection issues in microgrids. Section III describes the proposed protection method for VSI-based microgrids. Section IV presents the simulation results for an inverter-based microgrid and protection system. Conclusions are drawn in Section V.

Fig. 1 Inverter-based medium voltage microgrid.
The protection system is a revised version of the one proposed in [
The interface protection system can obtain the required information from the CTs at feeder 1, feeder 2, and the PCC bus. One potential transformer is installed on the PCC bus. The phase difference between pre-fault and fault current components is used for fault direction detection. The microgrid unit protection system shown in
The fault current levels of microgrids differ greatly between grid-connected and autonomous modes. The presence of DERs and complex operation scenarios of the microgrid can introduce challenges to protection. Additionally, the potentially large phase imbalance may make microgrid protection even more difficult. The investment in microgrid protection should also be considered. Moreover, inverter-based DERs can exhibit unconventional fault behaviors such as small short-circuit currents.
A simplified system network is shown in
(1) |

Fig. 2 Simplified diagram of pre-fault and superimposed fault systems (internal fault). (a) Pre-fault system. (b) Superimposed fault system.
where is the pre-fault voltage at bus A; is the line impedance between bus A and the fault point; is the pre-fault current magnitude; and is the line impedance angle. The superimposed fault diagram of
(2) |
The virtual voltage refers to the voltage variation. It is formed from the line impedance and fault current component. In the superimposed fault system, the voltage and current are in the opposite direction. Therefore, the polarity relationship between the current and virtual voltage is:
(3) |
Substituting (2) into (3) yields (4).
(4) |
(5) |
From (5), when a fault occurs in the forward direction, the polarity between the pre-fault current and fault current components is reversed. Therefore, the fault direction can be identified. When the fault occurs at the backside of the measured point, the simplified system can be shown as in

Fig. 3 Simplified diagram of pre-fault and superimposed fault systems (external fault). (a) Pre-fault system. (b) Superimposed fault system.
In the backward fault condition, the virtual voltage at bus B can be expressed by:
(6) |
And the relationship between voltage and current is given by:
(7) |
Thus, the relationship between current and fault current components can be shown as:
(8) |
From (8), when a fault occurs in the backward direction, the polarity between the pre-fault current and fault current components is identical. The faulted section identification method is studied in Section III.
The phasor relationship between the pre-fault current and fault current components at the relay point is given by:
(9) |
The resulting can be used as an indicator of the fault direction. The fault direction can be detected using the pre-fault current and the fault current components. When the fault occurs in the positive direction, should be larger than zero, whereas when the fault occurs in the backward direction, should be smaller than zero. Moreover, if the power flow direction is reversed, the polarity relationship between the pre-fault current and the fault component current is reversed. If is larger than zero, the sign is used to represent the forward fault. If is smaller than zero, the sign is used to represent the backward fault. The sign S is given as:
(10) |
Before detecting the fault direction, it is necessary to detect the presence of a fault. As the short-circuit current is very small in the autonomous operation mode, a proper fault status detection method for autonomous microgrids is required. For this purpose, the fault condition should be checked.
(11) |
where ia(t) denotes the current of phase A; is the current energy in the n cycle; is the current energy variation; and is the threshold value of current energy. The fault components can be calculated by:
(12) |
where N denotes the sampling number of each cycle. If the fault status and fault direction are detected, the fault section can be identified. The proposed unit protection system is based on local measurement of the current signal. The structure of the protection method is shown in

Fig. 4 Structure of proposed fault current based protection system.
Since the power flow direction in the microgrid changes over time, it is difficult to fix without voltage information. According to the analysis in Section II, the polarity detected by the relay at both ends of this section is reversed in the case of an internal fault. If a fault occurs externally, the polarity between the two adjacent CTs is the same. Hence, a new faulted section identification method is proposed. As shown in (13), the polarity of two adjacent CTs is multiplied, where 1 and +1 indicate the internal fault and external one, respectively.
(13) |
To activate the unit protection system, a coordination strategy with a traditional protection system is applied, as shown in

Fig. 5 Simplified schematic diagram of proposed unit protection method.
To determine the effectiveness of the proposed unit protection method, an inverter-based microgrid is simulated using PSCAD/EMTDC software, as shown in

Fig. 6 PSCAD model of inverter-based microgrid.
The grid includes a 110 kV bus with a short-circuit capacity of 100 MVA. The distribution grid is grounded, and two feeders are connected to the substation bus. Two DERs are connected at feeder 1 through an SWB, and one SWB supplies the load at feeder 2. There is a tie breaker, CB3, between feeders 1 and 2, which is normally open. In the case of a fault, CB3 is closed to supply power for the isolated section. And at the PCC, there is a breaker BRK_PCC. There is a single line-to-ground (SLG) fault at feeder 1. Moreover, there are measurement points on either side of the fault.
The parameters of the microgrid are shown in Table I. In the microgrid, a BESS is used to maintain the voltage and current in autonomous mode. The battery can supply power for an islanded area. The BESS allows storage and discharge of the electric power to achieve economic advantage. The BESS in the microgrid is controlled using the constant voltage and constant frequency (CVCF) method. The different control mode may change the fault-current angle. However, the method proposed in this paper is not affected by the different control modes because it is based on the phase difference between pre-fault current and fault-current components [
The simulation results of the microgrid are shown in

Fig. 7 Simulation results of inverter-based microgrid.
The voltage and current signals are pre-conditioned using a second-order Butterworth low-pass filter to prevent anti-aliasing errors, and a discrete Fourier transform (DFT) has been used to estimate the sequence components. The SLG fault is initiated in autonomous operation mode at feeder 1.

Fig. 8 Three-phase currents after fault inception.
The variation in current energy during a fault is shown in

Fig. 9 Fault current energy variation of phase A during a fault.
The fault current components during a fault are shown in

Fig. 10 Positive-sequence pre-fault and fault current components in CT3 and CT4. (a) Current in CT3. (b) Current in CT4.
As shown in

Fig. 11 Positive-sequence pre-fault and fault current components in CT3 and CT4. (a) Two cycles delay in CT3. (b) Two cycles delay in CT4.
To compare the polarity between pre-fault current and fault current components, a phase difference calculation is done using the DFT algorithm, and the sign values are determined based on (10).

Fig. 12 Phase difference calculation results.
To determine the validity of the algorithms, an external fault is also tested. If a fault occurs at position F2, the measurement currents shown in

Fig. 13 Positive-sequence pre-fault and fault current components in CT3 and CT4 (external fault). (a) Two cycles delay in CT3. (b) Two cycles delay in CT4.
Table II shows the result in different fault conditions. In the table, G stands for the grid-connected mode; A stands for the autonomous mode; and R stands for the fault resistance. We can see that the proposed method works in both grid-connected and autonomous modes. Different fault resistances are tested and it is demonstrated that the proposed method can respond to faults with different resistances. Also, for different fault types, the proposed method can work well. The simulation results show that this method can protect the microgrid against faults with different fault resistances and different types. And the proposed method is not affected by the microgrid operation condition. In any case, the proposed method can protect microgrid and identify the internal fault section effectively.
In this paper, a novel protection method for inverter-based microgrid using current-only polarity comparison is proposed. The method uses the phase difference between the pre-fault current and fault current components to detect the fault direction. Using the proposed method, the internal faulted section can be identified in an autonomous microgrid. The inverter-based microgrid model is simulated using PSCAD/EMTDC software, and the signal is processed using MATLAB. The results show that the proposed method can detect faults in inverter-based microgrids.
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