Integrating solar power systems with robust energy storage solutions has become a technical necessity. This case study examines a specific industrial application where commercial energy storage optimizes energy efficiency and reduces peak demand charges.
This paper presents a starfish optimization algorithm (SFOA) method for optimizing control parameters in DC microgrids. SFOA is a new metaheuristic inspired by biology to solve optimization problems, which simulates the behavior of starfish, including exploration, preying, and.