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Review Articles

Effective Control of Voltage and Frequency in Microgrid Using Adjustment of PID Coefficients by Metaheuristic Algorithms

 

Abstract

Controlling of voltage and frequency in the microgrid is a challenging issue and many controllers are suggested for this purpose. Proportional-Integral-Derivative (PID) controller is simple and efficient when its coefficients are optimally adjusted. Recently, evolutionary algorithms are used to optimally adjust the PID coefficients. In this paper, four evolutionary algorithms, particle swarm optimization, genetic algorithm, imperialist competitive algorithm and selfish herd optimization, are applied to set the PID controller coefficients and tested in the frequency and voltage control of the microgrid. Settling time, overshoot and stability margin are three main factors in the control response of PID which are considered for generating the fitness function to be optimized in terms of the PID coefficients. The proposed microgrid includes inverter-based distributed generators and different loads. Load change and different faults may cause the degradation of frequency and voltage where using of the PID controller leads to better control of these parameters. Simulation results show the efficiency of all four algorithms where particle swarm optimization performance is better than other three algorithms. Experimental results also verify the simulation results discussed in the paper.

Additional information

Notes on contributors

Sahbasadat Rajamand

Sahbasadat Rajamand was born in Kermanshah, Iran, in 1985. She received the BSc andMSc electrical engineeringofKermanshah Branch, Islamic Azad University in Iran in 2008 and 2010, respectively. She received PhD degree in power system of electrical engineering in Kashan University in Iran in 2017. She is currently an assistant professor in Electrical Engineering Department of Songhor Branch, Islamic Azad University, Songhor, Kermanshah, Iran. Her research areas are power systems, power sharing, microgrid and control of voltage and frequency. Email: [email protected]

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