Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm

Isolated microgrids (IMGs) power remote areas. However, IMG may lower the frequency stability and increase excursions with low system inertia. Load management ensures stability. Thus, paper proposes a novel multi-objective tuning strategy to improve IMG’s load control (LFC) take microgrid controller’s signals into account. Diesel engine generator, fuel cell, battery energy storage system, renewable sources (RESs) like photovoltaic wind systems make up IMG. Conventional controllers such as proportional-integral (PI) proportional integral derivative (PID) are classically tuned based on standard error criteria traditional single-objective approach. Due inertia of stochastic nature RES, they cannot act required under different operating scenarios. Therefore, PI PID using proposed multi-objective-based approach reduce deviations. In addition, anti-windup is applied enhanced classic keep them distant from nonlinear zone beyond source’s physical constraints. The process also considers maximum practical generation rates for sources. recent Artificial Rabbits Optimization (ARO) algorithm simultaneously adjust controller parameters several controlled in Extensive simulations MATLAB Simulink confirm effectiveness stable even when facing high levels disturbances. accomplishing sensitivity analysis, severe ±25% changes system’s guarantee that keeps stable.