Optimal distributed energy resources accommodation with techno-economic benefits using cheetah optimizer

Abstract

The planning and operation of radial distribution networks face increasing challenges such as active power losses and voltage instability, prompting a focus on integrating renewable energy resources to mitigate these issues. This study presents a techno-economic optimization framework leveraging the cheetah optimizer, a recently introduced metaheuristic technique, to optimize the accommodation of distributed energy resource units within the IEEE 33-bus radial distribution networks utilizing MATLAB environment. Both single and multi-objective perspectives are explored, demonstrating significant reductions in active power losses, minimized voltage deviation, improved stability, and maximized economic benefits. The cheetah optimizer efficacy is showcased through notable achievements, including a 94.20% reduction in active power losses and annual savings of up to $77,933 for optimal power factor mode in multi-objective optimization, surpassing existing literature. Additionally, reliability analysis conducted with ETAP software underscores the effectiveness of distributed energy resource integration, particularly with wind turbine systems, in enhancing network reliability.