Binary Dragonfly Algorithm-Designed Fuzzy Cascade Controller for AGC of Multi-area Power System with Nonlinearities

Abstract

The paper has addressed on design of robust fuzzy cascade controller for automatic generation control (AGC) of a multi-area power system under both step load and stochastic load perturbations. The AGC aims to maintain proper balance between net generation and active demand to pertain stability over system frequency and tie-line power effectively. A control action is highly essential to make stability over system frequency under any uncertainties. The paper proposes a robust fuzzy cascade controller to make necessary control action in the multi-area system for getting desired frequency and scheduled tie-line power under different load dynamics. Further, a novel binary dragonfly algorithm (BDA) is suggested to optimally design the proposed fuzzy cascade controller under different operating conditions. To show superiority of the proposed fuzzy cascade controller, a comparative study is synthesized over fuzzy PID and PID controllers under above uncertainties. Finally, it has been conferred that the proposed binary dragonfly algorithm-designed fuzzy cascade controller is found to be more effective in regard to AGC of multi-area power system.