Load frequency control based on an improved Chimp optimization algorithm using adaptive weight strategy
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING(2022)
摘要
Purpose This study aims to implement an improved version of the Chimp algorithm (IChimp) for load frequency control (LFC) of power system. Design/methodology/approach This work was adopted by IChimp to optimize proportional integral derivative (PID) controller parameters used for the LFC of a two area interconnected thermal system. Findings The supremacy of proposed IChimp tuned PID controller over Chimp optimization, direct synthesis-based PID controller, internal model controller tuned PID controller and recent algorithm based PID controller was demonstrated. Originality/value IChimp has good convergence and better search ability. The IChimp optimized PID controller is the proposed controlling method, which ensured better performance in terms of converging behaviour, optimizing controller gains and steady-state response.
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关键词
Load frequency control,Chimp optimization,Improved Chimp optimization,Benchmark functions,IEEE 39 bus system,Interconnected power system,Optimal control,Energy harvesting,Adaptive control
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