OPTIMIZING CAPACITIVE ENERGY STORAGE FOR LOAD FREQUENCY CONTROL IN WIND-DIESEL HYBRID POWER PLANTS: A NOVEL APPROACH WITH IMPERIALIST COMPETITIVE ALGORITHM
Abstract
This article presents a novel approach to optimize capacitive energy storage for load frequency control in wind-diesel hybrid power plants. The study employs the Imperialist Competitive Algorithm (ICA) as a computational tool to achieve efficient and effective control of power generation and frequency regulation in such hybrid systems. The research aims to enhance the stability and reliability of wind-diesel hybrid power plants by optimizing the sizing and placement of capacitive energy storage units. The results demonstrate the effectiveness of the proposed approach in improving load frequency control and overall system performance.
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