This review analyzes optimization strategies for battery energy storage in renewable energy systems, highlighting wireless communication roles.
The integration of battery energy storage systems (BESS) with solar photovoltaic (PV) and wind energy resources presents a promising solution for addressing the inherent intermittency of renewable energy sources. This paper provides a comprehensive review of optimization approaches for battery energy storage in solar-wind hybrid systems. We examine various optimization objectives, methodologies, and constraints that shape the design and operation of integrated renewable energy systems with storage. The paper analyzes sizing methodologies, control strategies, economic considerations, and technical constraints that influence optimization outcomes. Through comparative analysis of different optimization techniques including mathematical programming, heuristic algorithms, and artificial intelligence approaches, we identify the strengths and limitations of each method. Several case studies illustrating successful implementations in different geographical and regulatory contexts are presented. The review concludes with identification of research gaps and future directions for advancing battery storage optimization in renewable energy systems.
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Vijayaprakash et al. (2022) studied this question.
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