An Intelligent PI Controller-Based Hybrid Series Active Power Filter for Power Quality Improvement

Baliyan, Arjun; Jamil, Majid; Rizwan, M.; Alsaidan, Ibrahim; Alaraj, Muhannad

doi:https://doi.org/10.1155/2021/6565841

Mathematical Problems in Engineering

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Abstract Introduction Conclusion Data Availability Conflicts of Interest References Copyright Related Articles

Research Article | Open Access

Volume 2021 | Article ID 6565841 | https://doi.org/10.1155/2021/6565841

An Intelligent PI Controller-Based Hybrid Series Active Power Filter for Power Quality Improvement

Arjun Baliyan,¹Majid Jamil,¹M. Rizwan,^2,3Ibrahim Alsaidan,²and Muhannad Alaraj²

Academic Editor: Fotios Georgiades

Received15 Jul 2020

Revised10 Jan 2021

Accepted15 Feb 2021

Published28 Feb 2021

Abstract

The quality of power that is degrading day by day is an important issue for all the consumers. The important factor for this is harmonics in the voltage and current waveforms which can be resolved by the use of hybrid series active power filter. The combination consists of a series active power filter and a shunt passive filter connected in parallel to the load. The method used in this paper is for the purpose of achieving good harmonic compensation and reduced total harmonic distortion for various types of nonlinear loads as per the standards of IEEE 519. The proposed HSAPF technique uses the synchronous reference frame method for generating the compensating signal with an intelligent PI controller that uses particle swarm optimization (PSO) technique to obtain the required gain values needed to improve the steady state response of the system. The concept of vigorous HSAPF has been authenticated through MATLAB simulation analysis, and the results obtained validate the accuracy of the method for the different load conditions.

1. Introduction

In the recent times, due to the increase in the power demand, the quality of the power supply has deteriorated drastically at a very rapid rate. The main reason behind this is the use of nonlinear loads in the system which injects harmonics in the system, and therefore, it not only distorts the current and voltage waveform but also leads to poor power factor of the supply system [1].

Hence, it is required to compensate these harmonics generated due to nonlinear loads in the system. Conventionally, only passive filters were used for harmonic mitigation because of the simple advantage that they were cost effective and reliable, but on the other side, many drawbacks such as resonance and mistuning lead to their discontinuity in the system [2, 3]. These drawbacks were recently overcome by the use of shunt active power filters in the system which behaves as a current source and compensates the harmonics injected by the nonlinear loads in the system. Active power filters inject the same harmonics in the system as that of load, but they are opposite in phase to the load harmonics.

However, they were not preferable in the large systems due to cost limitations, and hence, series active power filter came in the late 80s as a possible solution to the existing APFs. The different combinations of these series and shunt active power filters have efficiently removed the harmonics in the source current as well as in the load voltage. However, they also have the demerit of being expensive and high inverter losses [4, 5]. Consequently, to overcome all these drawbacks and to have better harmonic mitigation with reduced overall cost, a novel hybrid series active power filter along with the artificial neural network-based PI controller [6] is proposed in the paper. Out of the different combinations of the hybrid filters that are used in the literature [7–11], the HSAPF is the most promising one [12]. The other evolutionary algorithms such as genetic algorithm [13], bacterial foraging [14], artificial bee colony [15], and gravitational search [16] have also been recommended in the last decades, but particle swarm optimization with its simplicity has an edge over the existing techniques. The aim is to reduce the total harmonic distortion in both the load voltage as well as in the source current as per the IEEE standard 519. The first proposal was based on the instantaneous reactive power theory [17, 18]. Here, in case of nonideal supply (if ≠0), the product of voltage and current will generate an average component which is not detachable; therefore, to overcome such difficulty, harmonic mitigation using the synchronous reference method is proposed in [19, 20]. This method requires the PLL block to keep the source voltage at the correct phase angle.

The paper is organized as follows. In Section 2, a brief description about the system topology, reference voltage generation technique, harmonic passive filter, and proposed PSO-based PI control strategy have been discussed. In Section 3, experimental results obtained from simulation are described in detail, and Section 4, finally, concludes the paper.

2. Description of System Topology

Hybrid series active power filter with the proposed PI controller that has been used here is the combination of series active power filter and a passive filter connected in parallel to the load. Figure 1 shows the proposed architecture of the above combination. The passive filters that have been used here are used to filter out the 5^th and 7^th harmonic components along with a high pass filter tuned for a specific frequency. The series APF is a combination of full bridge PWM, a three phase LC filter, and a DC link capacitor. This DC link capacitor provides the reactive energy that is needed to eliminate the harmonics. The LC filter used is to eliminate the ripples from the generated voltage of the inverter. The series APF as the name suggests is connected in series with the load. The artificial neural network-based PI controller used here is for the purpose of improving the steady state response of the system.

2.1. Reference Generation Voltage Technique

The synchronous reference frame method or dq method is used to transfer the load voltages from the stationary frame to the rotatory frame and is given as

A PLL has been used to correct the source voltage phase angle which is very much needed for transformation. The voltages obtained can be further divided into average and oscillating parts:where the load voltages are denoted by which contain harmonic components in it. Furthermore, dq components are passed from the low-pass filters to eliminate the DC components present in it, and we get the net harmonic contents. After that, by doing the inverse transformation, we can obtain the harmonic components present in the load voltages after the compensation of the passive power filter:

The same procedure is followed to transfer the source current into the rotating frame which is described below:

In the same way, obtained components contain DC as well as AC quantities, and similarly, we will filter out the DC quantity by using the low-pass filter, so the left out is net harmonic content. Again, after doing the inverse transformation, we can obtain the harmonic content present in the source current described as

The compensating signal is obtained by the combination of load voltage and the source current which is shown in Figure 2. From this figure, the error between the reference voltage and DC link capacitor voltage of the inverter is fed to the PI controller block, and the output of it is then subtracted from the oscillatory component. The oscillatory component mentioned here is obtained from the output of the low pass filter. Since the extra fundamental components such as also get added to the harmonic components, so the reference compensating voltage can be defined as

These currents are basically defined as the harmonic components of the source current, whereas are defined as the harmonic components of the load voltages.

2.2. Harmonic Passive Filter

These filters are used to enhance the quality of the voltage waveform by diverting the current other than the fundamental current or we can say the high frequency component current into the low impedance path. They are usually connected in shunt and also used to provide the reactive power requisite by the load for the purpose of power factor improvement.

In this system, we are using four harmonic passive filters in order to eliminate the 5, 7, 11, and 13^th order harmonics. To remove the high frequency component, we are also using the high-pass branch in the circuit. Using the technique recommended in [21], we have calculated the value of elements R, L, and C in such way that it optimizes the performance of the filter. Also, in order to remove the resonance problem, the filter is tuned at the frequency which is less than the harmonic frequency as we know most of the power system components are inductive in nature [22]. Figure 3 describes the passive harmonic filter, and Figure 4 represents the high pass filter or the damped filter.

2.3. Particle Swarm Optimization

In this paper, particle swarm optimization technique has been proposed to study the performance of the hybrid series active power filter. PSO is required here to obtain the optimal values of the gain constant that is required by the PI controller. The proposed algorithm updates the velocity and position of the particles till it reaches the desired objective. Each and every particle in the workspace is assigned with some arbitrary velocities. All particles search for optimal position in the global space by regularly updating their position and velocity. The particle optimizer checks for the best position attained so far [23]. Hence, based on the above concept tunes, the value of gain constant of the PI controller is such that the error between the and the reference voltage is minimized and it almost reaches the zero value.

The generalized equation for error can be given aswhere is the DC link capacitor voltage.

The conventional PI controllers were not able to give the accurate results under unbalanced power supply voltage and also in case of severe load changing conditions. Hence, to overcome such issue, the PI controllers are tuned with different intelligent techniques to overcome the above existing issues. The output of the controller can be written as

The PSO technique is widely used nowadays because of its simplicity, faster convergence rate, and greater accuracy. The DC link voltage has to be stabilized under severe load variations in the system. The tuning of PI controller parameters is a major challenge under the load changing conditions. Figure 5 represents the block diagram of the design of the PI controller using PSO.

3. Simulation Results

To examine the authenticity of the proposed controller, different types of loads have been taken for the purpose of analysis and are simulated in MATLAB using “Sims Power System Block set.” The parameters taken are mentioned in Table 1. The aim of the simulation is to show the effectiveness of the proposed controller in reducing the THD of the system to a significant level. Figure 6 shows the circuit model for different loads taken for the analysis.

(a)

(b)

(c)

3.1. Case 1: Harmonic Compensation in Case of Battery Charger Load

The performance in this case is authenticated through a diode bridge rectifier with a battery charger load. It has been observed from the results that the THD of the load voltage has been reduced from 21.83% to 3.99% and THD in the source current is now reduced to 4.20% which justifies the IEEE standard 519. Figure 7 represents the steady state performance of and the load voltage . Figures 8–10 show the FFT analysis of the both source current and the load voltage.

(a)

(b)

Figure 11 gives the DC link voltage in case of battery charger load.

3.2. Case 2: Harmonic Compensation in Case of RL Load

In this case, the diode bride rectifier with RL load has been taken to see the effect on the THD of the source current and the load voltage. Similarly, Figure 12 represents the source voltage, source current, and load voltage for this particular case. Finally, from Figures 13–15, we conclude that the THD of the source current has been reduced to 4.37% and the THD of the load voltage is reduced from 36.14% to 4.21% and both of them satisfy the IEEE standard 519. Figure 16 represents the error between the reference and the DC link voltage which is reduced to zero value.

(a)

(b)

(a)

(b)

3.3. Case 3: Harmonic Compensation in Case of Both Nonlinear Loads

In this case, the performance of HSAPF with the PI Controller for nonlinear load condition has been evaluated. Figure 17 shows steady state response of the supply current and the load voltage. The simulation results obtained as per Figures 18–20 show that the THD of the source current has been reduced to 4.54% and the THD of the load voltage is now 4.89%. Figure 21 shows the accuracy of the DC link capacitor voltage since it is stabilized at the required reference level.

(a)

(b)

(a)

(b)

Hence, from the three cases presented for different load variations, it is clear that the proposed method has better results in comparison to the existing intelligent techniques. Table 2 summarizes THD in load voltage for the different cases discussed in the paper.

4. Conclusion

The performance of HSAPF with the PI controller integrated with PSO is evaluated, and it is found better as compared to the amalgamation of other hybrid technique that uses series passive filter and shunt active power filter scheme. The hybrid control scheme is basically the coalition of source current and the load voltage detection approach. The proposed technique successfully compensates the harmonics in the source current and the load voltage under different loading conditions such as RL, both in nonlinear load as well as in case of battery charger load. The simulation results in various cases prove that the THD is in accordance with the IEEE standard 519, i.e., less than 5%. The proposed approach works well for different load variations in the system.

Data Availability

No data were used to support the findings of the study.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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Copyright

Copyright © 2021 Arjun Baliyan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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