MFO-WC Based Fuzzy logic PI Controller for Load Frequency Control of Autonomous Microgrid System

• Published in: International Conference on Control, Decision and Information Technologies (Online) Vol. 1; pp. 200 - 205
• Main Authors: Bouaddi, Abdessamade, Rabeh, Reda, Ferfra, Mohammed
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.05.2022
• Subjects: Fuzzy logic; Fuzzy PI controller; Heuristic algorithms; load frequency control; Microgrid; Microgrids; MothFlame and Water Cycle Optimization; Optical wavelength conversion; PI control; Power system stability; Simulation
• ISSN: 2576-3555
• DOI: 10.1109/CoDIT55151.2022.9803998

In This paper, a mathematical model of an autonomous micro-grid (MG) with both uncontrollable and controllable sources is proposed for load frequency analysis.Using the ITAE fitness function, a new hybrid algorithm based on Moth Flame and Water Cycle Optimization (MFO-WC) is used to tune Fuzzy logic proportional-integral (FLPI) controller parameters in order to minimize frequency deviation of the proposed microgrid. This study considers a variety of scenarios to illustrate the superiority of the suggested controller. Only a rapid change in load, wind and solar power chanes, as well as parametric uncertainty, have been evaluated in the scenarios. The superiority of MFO-WC is demonstrated by comparison with other algorithms such as PSO, MFO, WC and GA. Frequency model of system was developed in MATLAB /SIMULINK and the simulation results for different scenarios confirms that (MFO-WC) tuned FLPI is having better performance compared to other techniques.