Power system load frequency control by genetic fuzzy gain scheduling controller

Abstract

A Genetic Algorithm (GA) based fuzzy gain scheduling approach for load frequency control is proposed in this paper. In this approach, a fuzzy system is used to adaptively decide the integral or PI controller gain according to the area control errors (ACE) and their changes. To reduce both the fuzzy system design effort and the number of fuzzy rules, the fuzzy system is designed automatically by genetic algorithms. To improve the design performance, a new genetic algorithm using elitist strategy combined with similarity measure on relatives between individuals is proposed. Based on similarity measure, mutated reproduction is adopted to increase the chance for reaching better solutions and to avoid premature phenomena. Simulations on a two‐area interconnected power system with different kinds of perturbation are performed. The superiority of the proposed method over existing ones is verified from simulations and comparisons.

Key words:

• fuzzy control
• gain scheduling
• genetic algorithms
• power systems

Notes

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