Widi Aribowo, Laith Abualigah, Diego Oliva, Abubakar Umar, Aliyu Sabo, Hisham A. Shehadeh
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 regeneration. SFOA consists of two main phases of exploration and exploitation. This paper evaluates the performance of SFAO on droop control of DC microgrids by comparing with walrus optimizer (WO) and grasshopper optimization algorithm (GOA). From the simulation, SFOA shows superior capability. Validation on DC microgrid control using integral of time-weighted absolute error (ITAE) and integral of time-weighted squared error (ITSE). Simulation results demonstrate that the proposed technique exhibits a superior ITAE relative to WO and GOA, which are 6.88% and 8%, respectively. The performance validation results demonstrate that the SFOA approach exhibits potential and effective performance. The proposed method on DC microgrid control has been successfully applied and shows promising performance. The proposed methodology is particularly suitable for renewable energy integration in isolated or resource-constrained regions. © 2026 Institute of Advanced Engineering and Science. All rights reserved.
Department of Electrical Engineering, Faculty of Vocational Studies, Universitas Negeri Surabaya, Surabaya, Indonesia; Department of Computer Science, Al al-Bayt University, Mafraq, Jordan; Departamento de Ingeniería Electro-Fotónica, Universidad de Guadalajara, CUCEI, Guadalajara, Mexico; Department of Computer Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria; Department of Electrical and Electronic Engineering, Nigerian Defence Academy, Kaduna, Nigeria; Department of Computer Sciences, Faculty of Information Technology and Computer Science, Yarmouk University, Irbid, Jordan
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