1. Introduction
The blocking of three-phase induction motors during voltage dips in the network contributes significantly to the problem of slow voltage recovery stability (FIDVR) [
1,
2,
3]. As three-phase induction motors account for 70% of electricity consumption [
4], an accurate load model is essential to understand the dynamic behaviour of motor loads in power systems and to perform preventive analysis of network stability [
5,
6].
Researchers such as [
7,
8,
9] have advanced the industrial practice of load modeling from the simple static model to a combination of static and dynamic load models (ZIP load plus three-phase induction motor model), and the more recent WECC (Western Electricity Coordinating Council) composite load model [
7,
10]. The research [
11] highlights the WECC model as the most popular and accurate composite load model because it includes a variety of three-phase motors, single-phase motors and electronic components, giving it the flexibility to capture specific characteristics at different loads. Despite advances in the accuracy of the WECC composite load model in recent years [
12], further work is needed to refine it to more accurately represent the behaviour of end-use loads in power system transient stability analysis [
10].
The WECC model is available in computational tools for the development of electromechanical transient studies such as GE PSLF, Power World Simulator and PSSE. [
10]. This model includes three types of three-phase induction motors and represents the characteristics of a group of motors for each type [
13]. However, the technical methods and mathematical representations for developing the model of these loads are not publicly available from simulation programs [
10]. Limiting the development of the induction motor model to anticipate critical events, optimize resource utilization and reduce losses in a specific electrical network [
5].
A block diagram derived from the three-phase motor model provided by WECC [
14,
15], has been developed for transient and subtransient analysis of induction motors. This diagram considers the stator and rotor circuit transients along with the rotor speed transient [
15]. Due to the nonlinearity of the structure, it is difficult to directly apply analytical approaches to calculate the partial derivatives [
16]. This paper presents a mathematical procedure for implementing the three-phase induction motor model proposed by WECC and calculating its transient and subtransient responses.
The mathematical model was implemented in Simulink MATLAB to Analyse the dynamic responses of a three-phase induction motor. The verification was performed using parameters of a three-phase squirrel cage induction motor with deep slots, which, according to [
17], is the most widely used motor in the industry due to its simple design and ease of maintenance. The verification of the model under voltage disturbances was compared with results on motors obtained from the literature after voltage drop disturbances.
The first section of the paper presents the mathematical procedure for the implementation of the three-phase induction motor modeling as a WECC load, addressing the necessary adjustments to ensure its representation. Section two presents the results of simulations, with graphs, and analyses that illustrate the motor dynamics at start-up and in the face of voltage drop disturbances. Finally, section four presents the conclusions of the model implementation and simulation results, addressing the verification of the proposed model. .
2. Materials and Methods
Various studies have examined the mathematical model of induction motors as electrical system loads [
18,
19,
20]. In [
15], a third-order model based on the orthogonal system was used to calculate the transient responses of three-phase induction motors. Similarly, [
19] used the same model but presented the results in polar coordinates, expressing the magnitude and phase angle. Although these investigations represent the induction motor model, they do not follow the WECC (refer to
Figure 1) methodology like [
10,
21,
22] used a fifth-order system to model the three-phase induction motor (refer to
Figure 2)
The model is used to perform electromechanical transient analysis on a double-squirrel-cage motor (type C motor) [
10], but it can also be applied to three-phase induction motors, including type A (single squirrel-cage motor), type B (deep-slotted squirrel-cage motor) [
17].
2.1. Mathematical Model of the Three-Phase Induction Motor
The literature review provided a representation of the mathematical equations for modelling a three-phase induction motor as a WECC load up to fifth order. This representation includes the electromechanical behavior in its state variables [
10]. The electrical part of the model is described by four state variables: the transient and subtransient Voltages of the direct and quadrature axis (
,
,
and
). Equations
1 to
4, as described in [
21], express these variables.
In the works of [
19,
21] the transient quadrature FEM
, transient direct FEM
, subtransient quadrature FEM
, subtransient direct FEM
, and slip feedback (Sslip) of the dynamic state of the motor are defined as inputs to the system. The direct current (
) and the quadrature current (
) are the inputs to the system [
23].
Where
,
and
represent, respectively, the synchronous, transient and subtransient inductance per unit;
and
are the transient and subtransient time constants of the rotor. The parameters were obtained from the motor’s equivalent circuit per unit, following the procedure described in references [
4,
15,
24,
25] using Equations
5 to
7.
According to [
14], for Engine A and B, it is confirmed that
=
, and
= 0 . In the case of the double cage design, which implies the presence of two resistances (
,
) and two reactors (
,
) connected in parallel. based on [
4], the values of of
and
are determined from Equations
8 and
9 [
2].
Equations
5 to
9 define the following variables
is the rotor resistance with respect to the stator side,
is the stator reactance,
represents the rotor leakage reactance with respect to the stator,
is the magnetization reactance, and
corresponds to the synchronous speed.
The fifth state variable is the rotor slip (
), which is obtained using Equation
10 [
21,
22]. Here,
H represents the inertia constant in seconds, as defined in [
26,
27]. The motor speed (
) is defined as 1-
, according to [
21]. The term
represents tthe mechanical torque damping coefficient, which is adjusted based on the motor characteristic.
Equation
11 plots the electrical torque (
), while Equation
12 calculates the initial mechanical torque (
) using the subtransient voltages and initial currents in the direct and quadrature axis (
,
,
and
). These values have been determined by research [
10,
28] and are obtained by solving the system of equations
1 to
4, which are equal to zero. Please refer to
Appendix A for further details.
Figure 2 shows that the model’s input parameters are the direct and quadrature axis currents (
,
), as expressed in Equations
13 and
14 [
21].
The voltages along the direct axis and quadrature axis (
,
)" correspond to the decomposition of the motor input voltage in terms of the
d and
q axes. The magnitude of the voltage
is the square root of the sum of the squared sum of
and
[
29]. According to [
30], it is suggested that
= 0 and
is equal to the value in per unit of the voltage magnitude. Equations
15 and
16 express the active (
P) and reactive (
Q) per unit.
3. Results and Discussion
The block diagram in
Figure 2 was created in Simulink MATLAB using the mathematical representation of a three-phase induction motor as the load for the WECC model [
10,
21,
22]. The model can be applied to all three types of three-phase motors but used the parameters of the type B motor from [
21], As shown in
Table 1, to analyze one of the most widely used motors in the industry, as stated in [
17].
The block diagram shown in
Figure 2 was created in Simulink MATLAB using a mathematical representation of a three-phase induction motor as the load for the WECC model [
15,
21]. This was done to determine (
,
,
and
), as described in Equations
1 to
4. However, the input voltage to the motor (
,
), decomposed into the d and q axes represented by the orthogonal and quadrature axis voltages, must also be determined.
The voltage magnitude
was calculated as the square root of the sum of the squares of
and
[
29]. It is essential to set
equal to zero and
equal to one unit of the voltage magnitude to ensure an accurate value of |V| [
30].
The direct and quadrature axial currents of the induction motor (
,
) are determined using Equations
13 and
14, as illustrated in the block diagram in
Figure 3. The parameters Rs and Lpp are provided in
Table 1.
3.1. Motor Energization Simulation
A voltage of 1.0 per unit (p.u) was applied to the direct shaft voltage (
) one second after the start of the simulation to observe the behavior of the electromechanical variables during motor start-up.
Figure 4 shows that the electrical torque at start-up reaches a maximum value of 2.48 p.u in 0.58 seconds, and that the mechanical torque has an exponential behavior that stabilizes at the same time as the electrical torque.
During start-up, the electric torque must overcome the inertia of the rotor and the load to accelerate the motor, as explained in [
17]. This means that the electrical torque surpasses the mechanical torque.
Figure 5 shows the linear increase in speed until it stabilises after 1.2 seconds, allowing the other motor variables to reach a steady state as shown in
Figure 4.
3.2. Verification of the Model
To verify the implemented model, a voltage drop was applied to the motor in steady state, following the methodology described in [
21].
Figure 6 shows the perturbation applied to the motor model, where (
and
) represent the direct and quadrature axis voltages. The obtained results were compared with the type B motor simulations presented in [
21].
The motor speed in steady state is 0.948 p.u. When a disturbance is applied, the speed decreases to 0.933 p.u. in 0.1 seconds and then recovers linearly in 1.1 seconds, as illustrated in
Figure 7.
The active power consumption is affected by the voltage drop in the motor, as demonstrated in
Figure 8. The figure displays the active power results of the implemented model and those presented by Zixao Ma in [
21].
Both results transiently decreased from 0.948 p.u to 0.45 p.u during the disturbance. The implemented model’s active power response had an additional second transient at 1.1 seconds, but both results were reestablished after 2.1 seconds.
Figure 9 shows the response to a reactive power disturbance of the implemented model and the results presented by Zixao Ma in [
21]. The power was at a steady state of 0.68 p.u. When the perturbation was applied, the power transiently decreased to -0.7 p.u. At 1.1 seconds, during the reset, another transient occurred. The response of the implemented model had a magnitude of 1.2 p.u, while in [
21] it was 0.77 p.u. Both responses returned to steady state in 1.2 seconds.
The active and reactive power results exhibit a similar behavior to those in [
21] . This section includes an analysis of the motor’s electromechanical variables, such as speed, mechanical torque, and electrical torque, which depend on the motor’s behaviors in the dynamic model.
4. Conclusions
The simulations demonstrate that the results from the implemented model correspond to the behaviors of the models used in the literature to calculate the transient and subtransient responses of a three-phase induction motor. This allows for the representation of the motor’s start-up and response to disturbances.
The results for reactive power indicate high transients due to voltage drops in the network. This can cause a significant consumption of reactive power in the electrical system, leading to motor blockages and contributing to the problem of slow voltage recovery stability. It is important to address this issue, especially when multiple three-phase induction motors are connected to the same load bus.
Detailing the fifth-order analysis method used by the WECC model facilitates the modeling of these loads, providing a better understanding to perform small and large signal stability analysis. This allows for better operation and control of the electrical system.
Future work should include the methodology for identifying the parameters of different motors. This will allow for the characterization of the dynamic response of the motor load in delayed voltage recovery studies. Additionally, the obtained results should be verified through laboratory tests to enable comparison with real results to perform voltage drop simulations in an electrical system using transmission software, adjusting the implemented model to represent three-phase induction motors in power systems.
Abbreviations
The following abbreviations are used in this manuscript:
| WECC |
Western Electricity Coordinating Council |
| ZIP |
Load plus three-phase induction motor model |
| FIDVR |
Fault Induced Delayed Voltage Recovery |
Appendix A. Script MATLAB. Determination of (, , , , and )
| Listing 1: MATLAB code for the determination of , , and
|
 |
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