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含储能的数字化可再生能源电站运营策略与容量配置

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

作者信息

Wu Jianbin, Xue Lei, Zheng Yuming, Zhang Jingyu, Li Qiang

机构信息

State Grid Shanxi Electric Power Company, Taiyuan, 030000, China.

Economic and Technical Research Institute of State Grid Shanxi Electric Power Company, Taiyuan, 030000, China.

出版信息

Heliyon. 2024 Jul 26;10(15):e35181. doi: 10.1016/j.heliyon.2024.e35181. eCollection 2024 Aug 15.

DOI:10.1016/j.heliyon.2024.e35181
PMID:39166009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11334665/
Abstract

As the utilization of renewable energy sources continues to expand, energy storage systems assume a crucial role in enabling the effective integration and utilization of renewable energy. This underscores their fundamental significance in mitigating the inherent intermittency and variability associated with renewable energy sources. This study focuses on the involvement of photovoltaic (PV) plants in medium and long-term transactions. It also explores the participation of battery energy storage system (BESS) in electricity trading and frequency regulation ancillary services. The objective is to establish a strategic research model for maximizing the benefits of PV plant and the BESS in the energy arbitrage and frequency regulation markets. Sensitivity analysis was conducted to assess the impact of variations in both the rated power and maximum continuous energy storage duration of the BESS. Base on the NSGA-II algorithm and TOPSIS algorithm, an optimization model for energy storage capacity configuration is developed. The optimal capacity configuration and maximum continuous energy storage duration are determined through computational analysis, yielding values of 30.8 MW and 4.521 h, respectively. At this configuration, the daily average revenue is 2.362 × 10 yuan, the initial investment cost is 1.45 × 10 yuan, and the payback period is 4.562 years.

摘要

随着可再生能源的利用持续扩大，储能系统在实现可再生能源的有效整合与利用方面发挥着关键作用。这凸显了它们在缓解与可再生能源相关的固有间歇性和波动性方面的根本重要性。本研究聚焦于光伏电站参与中长期交易的情况。它还探讨了电池储能系统（BESS）参与电力交易和频率调节辅助服务的情况。目的是建立一个战略研究模型，以在能源套利和频率调节市场中最大化光伏电站和BESS的效益。进行了敏感性分析，以评估BESS的额定功率和最大连续储能持续时间变化的影响。基于NSGA-II算法和TOPSIS算法，开发了储能容量配置优化模型。通过计算分析确定了最优容量配置和最大连续储能持续时间，分别得出30.8兆瓦和4.521小时的值。在此配置下，日平均收益为2.362×10元，初始投资成本为1.45×10元，投资回收期为4.562年。

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