Economic Optimization of Combination of Wind, Solar, and Battery Storage for Grid-Independent Power Supply using Cuckoo Optimization Algorithm

Majlesi Journal of Electrical Engineering

مقاله 3، دوره 17، شماره 3، آذر 2023، صفحه 19-25   

نوع مقاله: Reseach Article

شناسه دیجیتال (DOI): 10.30486/mjee.2023.1987153.1149

نویسندگان

Waleed Khalid Al-Azzawi¹؛ Ahmed Majed Althahabi²؛ Kadhum Al-Majdi³؛ Jenan Ali Hammoode⁴؛ Ali Hussein Adhab⁵؛ Alaa M. Lafta⁶؛ Julayeva Zhazira⁷؛ Аbdukarimov Sadratdin^{* 8}

¹Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq

²Al-Manara College for Medical Sciences, Maysan, Iraq.

³Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq

⁴Accounting and Economics, Al-Esraa University College, Baghdad, Iraq

⁵Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq

⁶National University of Science and Technology, Dhi Qar, Iraq.

⁷Department of Automation and Robotics, JSC Almaty Technological University, 050026, Almaty, Republic of Kazakhstan.

⁸Department of Automation and Robotics, JSC Almaty Technological University.050026, Almaty, Republic of Kazakhstan

چکیده

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.

کلیدواژه‌ها

Renewable Energy Source, Wind Turbine؛ Solar Energy, Cuckoo Optimization Algorithm

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