Improving the Power Quality of Island Microgrid With Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO

• Published in: IEEE access Vol. 10; pp. 105352 - 105365
• Main Authors: Dashtdar, Masoud, Flah, Aymen, Hosseinimoghadam, Seyed Mohammad Sadegh, Rami Reddy, Ch, Kotb, Hossam, AboRas, Kareem M., Bortoni, Edson C.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control methods; Control systems design; Controllers; Distributed generation; Dynamic response; Electric potential; Electrical loads; Frequency control; genetic algorithm; Genetic algorithms; Mathematical models; Microgrid; Microgrids; Parameter modification; Particle swarm optimization; PI control; PI controller; Power control; Power quality; PSO; Switches; Voltage; Voltage control
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3201819

An efficient power control technique for inverter-based distributed generation (DG) in an islanded microgrid is investigated in this work. The objective is to raise the caliber of the electricity pumped from network-connected DGs. The characteristics that are taken into consideration include voltage and frequency control, dynamic response, and steady-state response, particularly when the microgrid is operating in island mode or when there is a load change. The control method consists of an internal current control loop and an external power control loop based on a synchronous reference frame and a conventional PI controller. The power controller is designed based on voltage-frequency (VF) control. In addition, an intelligent search technique that combines Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is utilized to automatically modify power controller parameters. The control technique in this research is that the DG modifies its control mode to modify the system voltage and frequency when the microgrid is islanded or load conditions change. The simulation results in MATLAB/SIMULINK software show that the proposed control system has been able to improve the power quality well.