OICC Press Majlesi Journal of Electrical Engineering 2345-3796 17 3 2023 09 15 Economic Optimization of Combination of Wind, Solar, and Battery Storage for Grid-Independent Power Supply using Cuckoo Optimization Algorithm 10.30486/mjee.2023.1987153.1149 EN Waleed Khalid Al-Azzawi Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq Ahmed Majed Althahabi Al-Manara College for Medical Sciences, Maysan, Iraq. Kadhum Al-Majdi Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq Jenan Ali Hammoode Accounting and Economics, Al-Esraa University College, Baghdad, Iraq Ali Hussein Adhab Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq Alaa M. Lafta National University of Science and Technology, Dhi Qar, Iraq. Julayeva Zhazira 050026, Almaty, Republic of Kazakhstan. Аbdukarimov Sadratdin Department of Automation and Robotics, JSC Almaty Technological University.050026, Almaty, Republic of Kazakhstan Journal Article 2023 09 15 Renewable energy sources, such as wind and solar, are becoming increasingly popular due to their environmentally friendly and sustainable nature. However, one major challenge associated with these systems is their intermittent nature, which makes it difficult to rely on them as a consistent source of energy. To address this challenge, researchers have developed a combined system that incorporates wind and solar resources with a battery as a storage device, which can provide a sample load pattern independent of the grid. The primary objective of this system is to determine the optimal economic combination of these resources, which can ensure a reliable and consistent supply of electricity. To achieve this objective, the Cuckoo Optimization Algorithm (COA), a metaheuristic optimization algorithm, has been used to optimize the system. The objective function has been implemented in accordance with the constraints, and the results provide insight into the optimal combination of resources. This paper provides a comprehensive analysis of the design and optimization of a wind-solar hybrid energy system with battery storage, using the COA, as well as the results of this analysis. The outcomes indicated that the optimal hybrid system model may be able to reduce system costs by 10–25%. This research's findings can be used to inform the design of sustainable and dependable renewable energy systems.