适应电源结构的储能规划方法和储能优化布点方法研究
Research on Energy Storage Planning Method and Energy Storage Optimization Layout Method Adapting to Power Supply Structure
摘要: 本文建立含有高比例可再生能源的某省电网储能系统的混合整型二阶锥规划(MISOCP)模型,通过优化储能系统的接入位置、容量和最大功率确定最佳储能系统配置方案。实验结果表明,在某电厂现役2 × 66万千瓦煤电项目的基础上,通过储能配置后,可在春、夏、冬三季增加一定的火力输出,使本不能很好消纳新能源的系统在春、夏、冬三季弃光弃风的功率明显降低,从而达到弃光弃电的要求。同时,系统运行成本也得到了有所降低,春季、夏季、冬季运行成本总计节约113万元/天。
Abstract: In this paper, a Mixed-Integer Second-Order Cone Programming (MISOCP) model for the Energy Storage System (ESS) in a provincial power grid with a high proportion of renewable energy is established. This model optimizes the access location, capacity, and maximum power of the energy storage system to determine the optimal ESS configuration scheme. The experimental results demonstrate that, based on the existing 2 × 660 MW coal-fired power project in a certain power plant, after the integration of the energy storage system, the thermal power output can be increased during spring, summer, and winter. This significantly reduces the power curtailment of wind and solar energy in these seasons for a system that previously struggled to fully absorb new energy, thereby meeting the requirements for minimizing wind and solar curtailment. Meanwhile, the operational costs of the system are also reduced, with total daily savings amounting to 1.13 million yuan across spring, summer, and winter seasons.
文章引用:廖泽伟, 汤未, 李戈, 张鹏举, 唐顺, 周旋. 适应电源结构的储能规划方法和储能优化布点方法研究[J]. 智能电网, 2025, 15(4): 115-127. https://doi.org/10.12677/sg.2025.154012

参考文献

[1] Ausfelder, F., Beilmann, C., Bertau, M., Bräuninger, S., Heinzel, A., Hoer, R., et al. (2017) Energy Storage as Part of a Secure Energy Supply. ChemBioEng Reviews, 4, 144-210. [Google Scholar] [CrossRef
[2] 李建林, 袁晓冬, 郁正纲, 等. 利用储能系统提升电网电能质量研究综述[J]. 电力系统自动化, 2019, 43(8): 15-25.
[3] 申洪, 周勤勇, 刘耀, 等. 碳中和背景下全球能源互联网构建的关键技术及展望[J]. 发电技术, 2021, 42(1): 8-19.
[4] 王蓓蓓, 丛小涵, 高正平, 等. 高比例新能源接入下电网灵活性爬坡能力市场化获取机制现状分析及思考[J]. 电网技术, 2019, 43(8): 2691-2702.
[5] 李婷, 胥威汀, 刘向龙, 等. 含高比例可再生能源的交直流混联电网规划技术研究综述[J]. 电力系统保护与控制, 2019, 47(12): 177-187.
[6] 钟迪, 李启明, 周贤, 等. 多能互补能源综合利用关键技术研究现状及发展趋势[J]. 热力发电, 2018, 47(2): 1-555.
[7] Chen, S.Y., Li, Z. and Li, W.Q. (2021) Integrating High Share of Renewable Energy into Power System Using Customer-Sited Energy Storage. Renewable and Sustainable Energy Reviews, 143, Article ID: 110893. [Google Scholar] [CrossRef
[8] 高春辉, 肖冰, 尹宏学, 等. 新能源背景下储能参与火电调峰及配置方式综述[J]. 热力发电, 2019, 48(10): 38-43.
[9] 徐国栋, 程浩忠, 马紫峰, 等. 用于缓解电网调峰压力的储能系统规划方法综述[J]. 电力自动化设备, 2017, 37(8): 3-11.
[10] 杨军峰, 郑晓雨, 惠东, 等. 储能技术在送端电网中促进新能源消纳的容量需求分析[J]. 储能科学与技术, 2018, 7(4): 698-704.
[11] 侯力枫. 风电功率波动平抑下储能出力与平滑能力的动态优化控制策略[J]. 热力发电, 2020, 49(8): 134-142.
[12] 冯磊, 杨淑连, 徐达, 等. 考虑风电输出功率波动性的混合储能容量多级优化配置[J]. 热力发电, 2019, 48(10): 44-50.
[13] 曹建伟, 穆川文, 孙可, 等. 考虑碳交易的区域电网风光储容量配置优化方法[J]. 武汉大学学报(工学版), 2020, 53(12): 1091-1096.
[14] 郭洋, 吴峰, 许庆强, 等. 风-光-储系统在不同运营模式下的最优容量配置策略及考虑网损补贴的经济性分析[J]. 智慧电力, 2019, 47(1): 26-33.
[15] 李建林, 郭斌琪, 牛萌, 等.风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
[16] 修晓青, 唐巍, 李建林, 等. 计及电池健康状态的源储荷协同配置方法[J]. 高电压技术, 2017, 43(9): 3118-3126.
[17] 高慧, 晏寒婷, 黄春艳. 考虑“源-荷-储”灵活性资源协调的主动配电网双层规划[J]. 广东电力, 2019, 32(5): 29-35.