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Spider Monkey Optimization Based Cascade Controller for LFC of a Hybrid Power System

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Document pages: 7 pages

Abstract: This report proposed a proportional–derivative with filter cascaded with a proportional–integral (PDF-PI) controller optimally design by spider monkey optimization (SMO) algorithm for load frequency control (LFC). Firstly, a commonly used thermal-thermal two area system has been considered to validate the performance of SMO based proportional-integral (PI) controller over recently published PI controller designed with teaching learning-based optimization (TLBO), differential evolution (DE), hybrid bacterial foraging optimization-particle swarm optimization (hBFOA-PSO), BFOA, genetic algorithm (GA) and conventional Ziegler Nichols (ZN). Furthermore, to verify superiority of proposed cascade controller over conventional integralderivative (ID), PI and proportional-integral-derivative with filter ( PIDF) controller in SMO framework, the system extended to a hybrid one by incorporating distributed generation unit and diesel unit in area-1 & area-2 respectively along with thermal generating unit (considering nonlinearities). Additionally, a combination of redox flow battery energy storage system and high voltage-DC is used to improve the dynamic performance of the overall system. Finally, the robustness of the proposed controller verified by applying a random load pattern in area-1.

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