Frequency Regulation of Interlinked Microgrid System Using Mayfly Algorithm-Based PID Controller

Dhanasekaran Boopathi (), Kaliannan Jagatheesan, Baskaran Anand, Sourav Samanta and Nilanjan Dey
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Dhanasekaran Boopathi: Paavai Engineering College, Anna University, Namakkal 637018, TN, India
Kaliannan Jagatheesan: Paavai Engineering College, Anna University, Namakkal 637018, TN, India
Baskaran Anand: Department of Electronics and Instrumentation Engineering, Hindustan College of Engineering and Technology, Coimbatore 641032, TN, India
Sourav Samanta: Department of CSE, University Institute Technology, The University of Burdwan, Bardhaman 713104, WB, India
Nilanjan Dey: Techno International New Town, Kolkata 700156, WB, India

Sustainability, 2023, vol. 15, issue 11, 1-19

Abstract: The primary goal of this article is to design and implement a secondary controller with which to control the system frequency in a networked microgrid system. The proposed power system comprises of Renewable energy sources (RESs), energy-storing units (ESUs), and synchronous generator. RESs include photovoltaic (PV) and wind turbine generator (WTG) units. The ESU is composed of a flywheel and a battery. Because renewable energy sources are not constant in nature, their values fluctuate from time to time, causing an effect on system frequency and power flow variation in the tie line. The nonlinear output from the RESs is balanced with the support of ESUs. In order to address this situation, a proportional integral derivative (PID) controller based on the Mayfly algorithm (MA) is proposed and built. Comparing the responses of controllers based on the genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) technique-optimized to demonstrate the superiority of the MA-tuned controller.. The results of the validation comparisons reveal that the implemented MA-PID controller delivers and is capable of regulating system frequency under various load demand changes and renewable energy sources. A robustness analysis test was also performed in order to determine the effectiveness of the suggested optimization technique (1%, 2%, 5%, and 10%) step load perturbation (SLP) with ±25% and ±50% variation from the nominal governor and reheater time constant).

Keywords: frequency deviation; load frequency control; Mayfly algorithm; PID controller; secondary control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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