Different Fuzzy Logic–Based Load-Frequency Controllers for Interconnected Power Systems – A Comparative Study Applied in Vietnam

Different Fuzzy Logic–Based Load-Frequency Controllers for Interconnected Power Systems – A Comparative Study Applied in Vietnam
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© 2023 by IJETT Journal
Volume-71 Issue-7
Year of Publication : 2023
Author : Thi-Mai-Phuong Dao, Ngoc-Khoat Nguyen, Duy-Trung Nguyen
DOI : 10.14445/22315381/IJETT-V71I7P222

How to Cite?

Thi-Mai-Phuong Dao, Ngoc-Khoat Nguyen, Duy-Trung Nguyen, "Different Fuzzy Logic–Based Load-Frequency Controllers for Interconnected Power Systems – A Comparative Study Applied in Vietnam," International Journal of Engineering Trends and Technology, vol. 71, no. 7, pp. 223-232, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I7P222

Abstract
Load-Frequency Control (LFC), a chief part of automatic generation control, plays an indispensable role in the stability and economy of an interconnected electric power grid. The major objective of this control methodology is to force the system frequency to be stable at a nominal value (i.e. f = 50 Hz) or fluctuate around this value, satisfying an acceptable tolerance. A huge number of control strategies have been successfully applied for the LFC. Among them, fuzzy logic technique-based controllers – one of the most efficiently intelligent control methods have been gained by both researchers and technicians. This paper concentrates on investigating a comprehensive comparative study of different kinds of fuzzy logic-based LFC strategies. These controllers, combined with a well-known evolutionary optimization mechanism, e.g. Genetic Algorithm (GA), to determine an adaptive structure, can completely solve the LFC problem of an interconnected power system. Simulation results in a five-control-area power network model related to a practical large-scale power system in Vietnam implemented by MATLAB/Simulink environment demonstrate the dominant applicability of the PID-like fuzzy logic LFC controllers over other counterparts.

Keywords
LFC, PID, PID~FLC, Optimization, GA.

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