1. Introduction
The load current in short-circuit studies is often neglected because the magnitude of the short-circuit current (SCC) flowing from rotating generators is much greater than the magnitude of the SCC that is affected by loads. As distributed or clustered loads that are unbalanced in phases are connected to the grid, they can significantly change the magnitude and phase angle of the SCC, despite their small capacities. Thus, the load current should not be neglected in short-circuit studies. Therefore, many studies have presented various methods for calculating the SCC. For example, in [
1], the equivalent circuits of a faulted network, which includes renewable energy sources based on voltage source converters, are proposed. The SCC problem is also solved by the iterative current compensation method with the bus impedance matrix [
2]. Since the topology of the distribution system is usually either radial or weakly meshed, the Thevenin equivalent circuit is also solved by the backward and forward sweep (BFSW) method [
3]. To synthesize the stochastic variation in the SCC, in [
4], the probabilistic simulations (e.g., Monte Carlo simulations) are performed. In [
5,
6], the decomposition method of the bus impedance matrices to bus-current-injection to branch-current (BIBC), and branch-current to bus-voltage (BCBV) matrices, which were originally proposed for power-flow calculation, are also applied to the SCC calculation. Moreover, to apply the SCC calculation algorithm to the real-time system, a hybrid compensation method that uses the Thevenin equivalent impedance matrix, based on phase representation, is presented in [
7].
While the previous studies are based on balanced three-phase systems, the SCC of the multi-phase distribution systems is calculated by representing the multi-phase distribution system as the equivalent three-phase system in [
8]. Similarly, when an internal fault occurs in the twelve-phase transmission lines, the faulted voltages and currents are also decomposed into twelve-sequence components (e.g., positive-sequence currents and inverted sequence components) that take the effect of the mutual coupling of the twelve-phase lines on the SCC into account, so that the proposed method can find the fault location [
9]. Since the previous studies do not examine the series and simultaneous faults, a generic SCC model, which uses Thevenin’s voltage, impedance, and fault network models that are able to analyze the series and simultaneous faults, is presented in three-phase coordinates [
10]. Furthermore, the
n-conductor current injection method (NCIM) that solves the non-linear equations and calculates the state variables (e.g., the line currents and phase-to-ground voltages), based on the Newton–Raphson method, is proposed in [
11]. The
n-conductor fault method also analyzes the internal, series, and simultaneous faults, based on the extended version of the NCIM [
12].
Meanwhile, although the previous studies provide various SCC calculation methods, they do not focus on heavily unbalanced distribution systems. Thus, in [
13], the augmented nodal matrix, which has been selected by the inversion technique, solves the SCC problem of unbalanced distribution systems, including the independent voltage sources, transformer models, and switches. The coupling relationship between the sequence networks of three- and six-phase lines are derived in [
14]. Then, using the augmented admittance matrices, a part that has been selected from the admittance matrix—the unbalance in a network that includes three- and six-phase systems that are caused by untransposed lines and transformer phase shifts (e.g., ±30° in a delta-wye)—is also examined in [
14]. For multiple faults on the unbalanced poly-phase systems, using nodal impedance and admittance matrices, the phase coordinate representation of the system is also derived in [
15]. Additionally, for a transient stability study of the unbalanced conditions after faults, the positive-sequence admittance matrix, which represents the relationship between generators and dynamic loads, is derived in [
16].
The previous studies neglect the system unbalance that is caused by inverter-based distributed generation (IBDG) sources, so after assuming that the IBDG source operates at a power factor (PF) of 1.0 or 0, the contribution of such an IBDG source to the SCC is examined by solving Kirchhoff’s current law (KCL) equations using the Newton-Raphson method [
17]. To calculate an SCC of the unbalanced microgrid with microturbine generators, branch mismatch currents are injected and mismatch voltages are calculated using the relationship between the BIBC and BCBV matrices [
18]. To estimate the fault impedance and SCC in unbalanced and untransposed feeders, the study [
19], assumes that two voltage sources are connected in series. The first voltage source corresponds to the pre-fault voltage and the second source represents the fault type boundary conditions.
However, these previous short-circuit studies have neglected the load current for the following reasons.
- (1)
The SCC that is changed in the loading conditions is much smaller than the SCC that neglects loads.
- (2)
The loads that are operated in modern power grids can not be modeled by ‘simple’ impedance during an electric fault [
20].
However, recently, in [
21], loads that are connected in wye or delta are modeled as constant impedances and their contribution to the SCC is calculated by not only combining the network and the faulted side, but also by converting the faulted side into equivalent injected current sources, using the three-phase impedance matrix. The loads that are unbalanced in either radial or weakly meshed distributions (the IEEE 123-bus test feeder) are also modeled as constant impedances and are added to the bus admittance matrix. Then, the study compares the cases of loaded and unloaded conditions [
22]. Moreover, in order to take the load current into account, one study proposes a method that removes the system frequency variations from a set of phasors that are measured by phasor measurement units, and estimates the SCC in varying load conditions [
23]. Another study also presents an SCC identification algorithm that forecasts the short-term load and extrapolates the grid state, based on neural networks [
24]. While the previous studies ignore dynamic loads, the effect of dynamic loads on the SCC is examined by PSS/E simulations [
25]. The effect of the dynamic loads on the three-phase SCC of metropolitan transmission networks is also studied by comparing the digital fault recorder data and PSS/E simulation data [
26]. Recently, a method that transforms the delta- and wye-connected loads that are balanced in three phases to the equivalent impedances, and adds them to the conventional sequence network, is presented in [
27,
28].
In the meantime, many short-circuit studies have used power systems computer analysis programs, including CYME, DIgSILENT, PSS/E, and SIMULINK of MATLAB. However, although the programs provide an SCC calculation mode that takes the load current into account, they replace Thevenin’s voltage in the positive-sequence network with the pre-fault voltage that is determined by their power-flow calculation function when calculating the SCCs [
29,
30]. Furthermore, they do not present the detailed modeling equations of the SCC that are affected by the load current in their manual [
29,
30].
The previous studies that are mentioned above have neglected the unbalanced wye- or delta-connected loads when calculating the SCC. Therefore, this study derives the equivalent short-circuit models of the wye- or delta-connected unbalanced loads in single or two phases, and adds the equivalent short-circuit models to the positive-, negative-, and zero-sequence networks. In fact, the proposed equivalent model uses the pre-fault voltage for more accurately calculating the SCC, so a power-flow calculation algorithm is also presented. The power-flow calculation method, which is proposed in [
31,
32], significantly reduces the inversion of the matrices, so it is faster than the conventional power-flow calculation methods (e.g., the Gauss–Seidel, Newton–Raphson, and fast decoupled methods) for a large-sized power grid (e.g., with thousands of nodes). However, the methods that are presented in [
31,
32], do not include tap-changing transformers and P-V buses. Therefore, this study proposes decomposing the system into the series and shunt components in order to model tap-changing transformers. The detailed modeling methods of P-V buses and tap-changing transformers will be presented in Part II of this paper. In addition to the faster speed, the proposed SCC models calculate the SCC more accurately, by not ignoring the wye- or delta-connected unbalanced loads in single or two phases, which is verified in various case studies by comparing the cases of (a) neglecting loads, (b) converting loads to impedance using the nominal voltage, and (c) the actual SCC.
This study is presented in the following sections.
Section 2 derives the equivalent short-circuit models of the unbalanced impedance loads.
Section 3 briefly introduces the pre-fault voltage calculation method that uses the bus impedance matrix and the iterative current compensation method.
Section 4 presents case studies that validate the proposed methods.
Section 5 summarizes the main conclusions of this study.
3. Pre-Fault Voltage Calculation
The proposed equivalent SCC model required the pre-fault voltage in order to more accurately calculate the SCC, so a power-flow calculation algorithm was presented in [
31,
32]. The method represented the power system network as the bus impedance matrix, or
Zbus, and then calculated the power flow without any further processing of the impedance matrix. Indeed,
Zbus represented the relationship between the injected currents and the induced voltages by the following:
To build the bus impedance matrix, in
Figure 6, this study introduced the following four rules:
(1) The slack node needed to be connected to the reference (e.g., the ground). If a slack node was connected to the reference, the initial
Zbus is built by the following:
(2) The new nodes needed to be connected to the slack node. If the new node
j, with an impedance of
z p.u., was connected to the previous node
i, the following rule is used:
where
and
=
Zbus at the new and previous steps, respectively;
= the ith column vector of the previous step;
and = the element of the ith row and ith column, at the previous step.
For example, if the new nodes 2 and 3, in
Figure 6, were connected to the slack bus (e.g., node 1),
Zbus was modified by the following:
(3) The new node needed to be connected to the existing two nodes. If the new node, with an impedance of
z p.u., was connected to the existing two nodes (e.g., nodes
i and
j), the following rule modified the existing
Zbus:
For example, if a new node, with an impedance of 0.4
j p.u., was connected to the existing nodes (e.g., nodes 1 and 3, thus
i = 1 and
j = 3),
Zbus was modified by the following:
(4) The Kron reduction of the existing node. If the existing node was connected to the reference through an impedance of
z p.u., the following Kron reduction rule was used:
where
n = the node connected to the reference,
i and
j = 1, … ,
n.
If the existing node (e.g.,
n = 3) was connected to the reference, through an impedance of 0.1
j p.u., final
Zbus is as follows:
These four rules built the bus impedance matrices that calculated the power flow and SCC of the positive-, negative-, and zero-sequence networks of the test feeders.
The method presented in [
31,
32] calculated the currents that were to be injected and the voltages that were induced by the currents. If the actual pre-fault voltages were known at the first iteration, the method could determine the actual currents. But, the pre-fault voltages that were estimated at the first step were based on the initial nominal voltages. Thus, the steps that determined the injected currents and the induced voltages, or Equation (16), were iterated until they achieved the convergence in the following mismatch:
However, the method presented in [
31,
32] did not model the tap-changing transformers and P-V buses. Therefore, this study decomposed the system into the series and shunt components, in order to model the tap-changing transformers. The detailed modeling methods of P-V buses and tap-changing transformers were done beyond this study, so they will be presented in Part II of this paper.