This paper introduces voltage self-regulation of a variable speed single-phase induction generator-based wind energy conversion system (WECS) for stand-alone applications. The idea behind the voltage self-regulation technique proposed in this paper is adjusting the fixed capacitor’s effective value for exciting the single-phase induction generator. This adjustment is performed using an inexpensive Sinusoidal PWM (SPWM) switching circuit to short circuit the capacitor during different periods to make a virtual change of the capacitance value extracted from the fixed capacitor. That optimized fixed capacitor size is firstly determined using harmony search (HS) optimization technique. HS is also used to determine the capacitance value required for voltage self-regulation of single-phase induction generators at different speeds through an optimal PI controller. To test the proposed system’s capability, different changes in the prime mover speed are applied to the rotor of the generator and the system succeeds at regulating the voltage with these speed variations. Moreover, a reduction in the harmonics in the output voltage was attained. The performance is of the HS optimization technique is compare to another optimization technique, particle swarm optimization.
Sustainable energy has recently played an important role in generating electric power due to its significant environmental, technical, and economic advantages. These advantages, clean fuel sources, do not produce atmospheric emissions, increase the number of jobs, open the door for the local investment in electric energy generation, increase the power system stability and reliability, and reduce the generating cost [
Wind energy conversion systems (WECS) have received numerous and enormous uses to generate electric power. These usages are due to fuel depletion, pollution problems as well as modern trends relying on renewable energy generation. Wind energy is one of the most promising sources of renewable energy [
There are many types of generators used in wind energy systems. Not long ago, many current wind generators are Self Excited Induction Generators (SEIG) [
The large-scaled WECS based SEIG is extremely used in the generating level for large scales of MW. Such systems’ upcoming usage will be on the small scale of kilowatt (kW) or fractional kW, especially for the single-phase induction generators (SPIG). SPIGs are used in micro-hydro and wind energy generation plants in rural areas where the main rid is not available. They can be used either as on or off grid-connected [
Most of the single-phase induction generators are originally three-phase generators with some modifications in the phase connections. Connecting two phases in series and the third one to a capacitor is one of the well-known configuration methods for converting the three-phase induction machine into a single-phase one. Other configurations for that conversion are introduced in Bhattacharya et al. [
For SPIG types, there should be a reactive power compensation to fulfill both the reactive power demand for the turbine generators and the load’s reactive power [
Different capacitances and different configurations are used to provide voltage support for SPIG. Three capacitors, one in parallel and two in series with the load, are used to provide the voltage support for SEIG types supply single-phase load. The control configuration of integrating those capacitances requires complex and accurate control methods, as in [
Many articles introduced some control methods to adjust the capacitance used for voltage support of the SPIG. Most of these control methods are mainly depends on the short circuit the capacitance for some intervals to change the effective value of that capacitance. This short circuit, electronic switch based, has three configurations: delay angle control, PWM and Sinusoidal PWM (SPWM). The best performance for the voltage profile as well as minimum harmonics is attained when using SPWM, [
In this paper, voltage self-regulated of SPIG based wind energy conversion system for isolated load using an inexpensive control circuit is introduced. This regulation is mainly based on introducing one capacitor to the auxiliary winding of the generator. The optimal capacitance of that capacitor used to excite and provide the voltage support of SPIG is calculated using harmony search (HR) optimization algorithm at the lowest wind speed. Then at different wind speeds, the effective capacitance is changed to keep the generator output voltage at 1 p.u irrespective of the wind speed variations.
The system proposed in this study is illustrated in
The capacitance value and consequently, the injected reactive power to the generator barely affect the terminal generated voltage. In order to regulate the voltage, a source of the reactive power (capacitor) should be varied or controlled. This work proposed a simple method for controlling the reactive power exploiting a fixed capacitor,
The difference between the generated (load) voltage and a reference voltage is updated and the error between these two values is used to stimulate a simple electronic circuit to bypass the capacitor for specific time intervals in each cycle to change the effective value of the capacitance of that fixed capacitor.
The first step is calculating the value of the fixed capacitor for the generator used in this work. The value of that capacitor is calculated using HS optimization technique.
The generated voltage level mainly depends on the wind speed driving the rotor of the SPIG. The HS is introduced to find the optimal capacitance required for voltage support at each speed.
To test the effectiveness the presented HS optimization technique in calculating the minimum capacitance required for exciting SPIG through generating a suitable PWM drive by PI controller, particle swarm optimization (PSO) is introduced. PSO is utilized in many optimization algorithms and could be considered as the benchmark for other optimization techniques [
Many optimization techniques were presented in many power system applications [
1. Playing any one pitch from memory;
2. Playing a neighboring pitch of one pitch from memory;
3. Playing a random pitch from the possible range.
The flow chart for HS is given in
The HS is used to find the minimum capacitance value of the fixed capacitor used for voltage self-regulation of the generator at the minimum allowable wind speed.
The objective for this optimization process is to minimize the Integral of Square of Error (ISE) between the load voltage (generator voltage), and a reference voltage as given in (1).
The cost function,
where
The HS for this optimization problem is done depending on the following five operators: Random playing. In which a random playable range of the capacitance values is proposed. Memory considering. By the random proposed values in the random playing process, the objective function given in (1) is calculated. The preferred one (preferred note) is then selected with these new values rather than those specified in the first step. Storing these values in the form of a matrix is called Harmony Memory or Harmony Matrix (HM). Pitch adjusting. The preferred ones’ neighborhood values are calculated to such that all of these values belong to the preferred note. So improvised harmony is appearing in each improvisation. Each harmony takes the form of a vector of HM. A replacement process for worst harmony with the better one is done. Ensemble considering. In this operation, the HS algorithm is running with different parameters selected from diverse populations. In other words, the new population is selected among different vectors of HM to form the most harmonious population. Dissonance Considering. Replacing the dissonance harmony with the population to find the best one [
A single-phase induction machine’s generation mode operation is achieved if a capacitor, source of the reactive power, is connected to one of the machine stator windings, either main or auxiliary. A capacitor is connected across the auxiliary winding is used in this article as depicted in
The d-q representation of the machine is used in this study. This model of the SPIG is shown in
The voltages equations for the SPIG transformed into d-q transformation are presented as follows:
Since the rotor is short-circuit, Vd and Vq are zero.
Simulink/Matlab is utilized to model and simulate the SPIG based on the d-q model presented before.
The first step is to find the minimum capacitor that can excite the machine and providing the reactive power support at the minimum allowable speed. The value of this capacitance is determined using HS optimization technique.
The synchronous speed of the SPIG used in this work is 1500 rpm. The maximum reduction in the rotor speed for such generators is 33% [
With the rated load, and the minimum proposed speed, HS is used to minimize the objective function introduced in (1) to find the minimum capacitance required for providing voltage support with these operating conditions. This value of the capacitance is the fixed capacitance will be used in the proposed control. The capacitance value obtained from HS is C = 90 µF with ISE of 0.002. The output voltage is plotted in
The speed is changed in this case. This change will affect the magnitude of the output voltage. So a variation of the capacitance should be applied to regulate that voltage due to the speed variation through regulating PWM by the output signal from the POI controller. The capacitance required at each speed is calculated using HS and PSO. Seven speeds inside the speed operating range from 1200 rpm to 1500 rpm are selected, at each speed, the HS and PSO algorithms are utilized to find the capacitance required with minimum objective function introduced in (1). The prime mover speed with the required capacitance for the excitation at different speeds is given in
Speed in rpm | Capacitance Required in µF | |
---|---|---|
HS | PSO | |
1200 | 95 | 96.2 |
1250 | 90 | 91.1 |
1300 | 86 | 86.2 |
1350 | 82 | 82 |
1400 | 79 | 81 |
1450 | 77 | 75 |
Some speeds are selected from the speed range to test the system performance with the results obtained from HS and PSO.
The convergence of PSO and HS optimization techniques is given in
In this case, the speed is decreased from the rated speed of 1500 rpm to 1200 rpm as shown in
In this case, the capacitance value is extracted from the fixed capacitance obtained from HS as controlled SPWM used to short circuit the capacitor at specific intervals. At the rated speed the controller succeeds at regulating the capacitance at 75 µF, while at 1200 rpm; the capacitance is changed to 95 µF.
The duty cycle used for this test case is shown in
Another step in the wind speed drive, the prime mover of the generator, among the seven test cases in
The controller can keep the voltage at 1 p.u during these speed variations as in
This paper introduces a simple control method for self-regulation single-phase induction generator for wind energy conversion system-based remote load applications. The proposed method exploits the virtual capacitance changing extracted from a fixed capacitor to regulate the generator’s output voltage at different wind speeds using SPWM technique to short circuit the capacitor during controlled duty cycles. The capacitance required for exciting the generator, in order to minimize the difference between the output voltage and a reference voltage, is calculated using HS optimization algorithm.
This study was funded by the Deanship of Scientific Research, Taif University, KSA [Supporting Project Number TURSP-2020/34].
load voltage (generator voltage)
reference voltage
d and q axis stator voltages respectively.
d and q axis stator currents respectively.
d and q axis rotor currents respectively.
d and q axis stator resistances respectively.
d and q axis rotor resistances respectively.
d and q axis stator inductances respectively.
d and q axis rotor inductances respectively.
d and q axis mutual inductances respectively.
d and q axis number of turns respectively.
rotor angular speed.
derivative operation d/dt.