Operation strategy and capacity configuration of digital renewable energy power station with energy storage

• DOI: 10.1016/j.heliyon.2024.e35181
• Publication Date: 2024-07-26T23:54:16Z
• Authors: Jianbin Wu; Lei Xue; Yuming Zheng; Jingyu Zhang; Qiang Li
• Keywords: Photovoltaic (PV) plant; Social sciences (General); H1-99; Q1-390; Battery energy storage system (BESS); Science (General); Optimized configuration of energy storage capacity; Operation strategy optimization; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Research Article

As the utilization of renewable energy sources continues to expand, storage systems assume a crucial role in enabling effective integration and energy. This underscores their fundamental significance mitigating inherent intermittency variability associated with sources. study focuses on involvement photovoltaic (PV) plants medium long-term transactions. It also explores participation battery system (BESS) electricity trading frequency regulation ancillary services. The objective is establish strategic research model for maximizing benefits PV plant BESS arbitrage markets. Sensitivity analysis was conducted assess impact variations both rated power maximum continuous duration BESS. Base NSGA-II algorithm TOPSIS algorithm, an optimization capacity configuration developed. optimal are determined through computational analysis, yielding values 30.8 MW 4.521 h, respectively. At this configuration, daily average revenue 2.362 × 10