刘正茂,朱司丞,黄忠梁,蒋建杰,朱奕弢,张有兵,潘红武
LIU Zhengmao,ZHU Sicheng,HUANG Zhongliang,JIANG Jianjie,ZHU Yitao,ZHANG Youbing,PAN Hongwu

• 1:湖州电力设计院有限公司
• 2:浙江工业大学信息工程学院
• 3:国网浙江省电力有限公司湖州供电公司

摘要(Abstract)：

集中式储能在电网削峰填谷、分区供用电平衡等方面发挥着重要作用，然而现有的储能电站规划大多缺乏对分区内供用电平衡问题的研究。因此，提出一种城市高压配电网分区储能规划方法。首先，利用电耦合强度矩阵改进Newman快速算法，优化电网分区。然后，以经济性和电网脆弱性为优化目标，综合考虑储能约束、潮流约束等约束条件，建立了城市电网储能配置模型。随后，采用多目标粒子群优化算法得到帕累托前沿，并通过秩和比综合评价法确定各分区储能的最优选址和容量。最后，基于IEEE 39节点电网进行算例分析，验证所提方法可对网侧储能电站合理规划，有效提高城市电网分区运行的自治性和经济性。
Centralized energy storage plays a critical role in grid applications such as peak shaving, valley filling, and balancing supply and demand across different partitions. However, existing energy storage station planning often lacks research on the supply-demand balance within specific partitions. To address this issue, a method for urban high-voltage distribution network partitioning and energy storage planning is proposed. First, the network partitioning is optimized using a Newman's fast algorithm based on the electrical coupling strength(ECS) matrix. Then, an energy storage configuration model for the urban distribution networks is developed, with economic efficiency and grid vulnerability as optimization objectives, considering constraints such as energy storage limits and power flow constraints. A multi-objective particle swarm optimization(MOPSO) is employed to obtain the Pareto frontier, and the rank sum ratio(RSR) is used to determine the optimal site and capacity of energy storage for each partition.Finally, case studies based on the IEEE 39-node grid are conducted to verify that the proposed method enables rational planning of grid-side energy storage stations, effectively enhancing the autonomy and economy of partition-based operation of urban distribution networks.

关键词(KeyWords)： 储能电站;电网分区;供用电平衡;储能规划
energy storage station;grid partition;supply-demand balance;energy storage planning

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（U22B20116）;; 国家电网公司科技项目（HZTLKJ2023-08）

作者(Author): 刘正茂,朱司丞,黄忠梁,蒋建杰,朱奕弢,张有兵,潘红武
LIU Zhengmao,ZHU Sicheng,HUANG Zhongliang,JIANG Jianjie,ZHU Yitao,ZHANG Youbing,PAN Hongwu

DOI: 10.19585/j.zjdl.202504013

参考文献(References)：

• [1]周林，黄勇，郭珂，等.微电网储能技术研究综述[J].电力系统保护与控制，2011,39(7):147-15.ZHOU Lin,HUANG Yong,GUO Ke,et al.A survey of energy storage technology for micro grid[J]. Power System Protection and Control,2011,39(7):147-15.
• [2] DEHGHANI-SANIJ A R,THARUMALINGAM E,DUSSEAULT M B,et al. Study of energy storage systems and environmental challenges of batteries[J].Renewable and Sustainable Energy Reviews,2019,104:192-208.
• [3]丁倩，曾平良，孙轶恺，等.一种考虑可再生能源不确定性的分布式储能电站选址定容规划方法[J].储能科学与技术，2020,9(1):162-169.DING Qian,ZENG Pingliang,SUN Yikai,et al.A planning method for the placement and sizing of distributed energy storage system considering the uncertainty of renewable energy sources[J].Energy Storage Science and Technology,2020,9(1):162-169.
• [4]周俊煌.基于配电网削峰效益评估的储能选址定容规划研究[D].广州：华南理工大学，2019.ZHOU Junhuang.Research on energy storage location and constant capacity planning based on peak shaving benefit evaluation of distribution network[D].Guangzhou:South China University of Technology,2019.
• [5]陈刚，黄杨，丁理杰，等.考虑高压配电网转供能力的储能电站双层规划模型[J].电力建设，2021,42(1):85-95.CHEN Gang,HUANG Yang,DING Lijie,et al.Bi-level programming model of energy storage power station considering transfer capability of high voltage distribution network[J].Electric Power Construction,2021,42(1):85-95.
• [6] FERNáNDEZ-BLANCO R,DVORKIN Y,XU B L,et al.Optimal energy storage siting and sizing:a WECC case study[J]. IEEE Transactions on Sustainable Energy,2017,8(2):733-743.
• [7]谢雨龙，罗逸飏，李智威，等.考虑微网新能源经济消纳的共享储能优化配置[J].高电压技术，2022,48(11):4403-4413.XIE Yulong,LUO Yiyang,LI Zhiwei,et al.Optimal allocation of shared energy storage considering the economic consumption of microgrid new energy[J]. High Voltage Engineering,2022,48(11):4403-4413.
• [8] KORJANI S,MUREDDU M,FACCHINI A,et al.Aging cost optimization for planning and management of energy storage systems[J].Energies,2017,10:1916.
• [9]曹新慧，车勇，司政，等.广域储能电站定容-选址一体规划[J].中国电力，2022,55(7):110-120.CAO Xinhui,CHE Yong,SI Zheng,et al.Integrated planning of optimal sizing and siting of energy storage plants across wide area[J].Electric Power,2022,55(7):110-120.
• [10] NAIDJI I,BEN SMIDA M,KHALGUI M,et al.Efficient allocation strategy of energy storage systems in power grids considering contingencies[J].IEEE Access,2019,7:186378-186392.
• [11]宋思锦.含高比例新能源的配电网储能规划研究[D].济南：山东大学，2023.SONG Sijin.Study on energy storage planning of distribution network with high proportion of new energy[D]. Jinan:Shandong University,2023.
• [12] OSKOUEI M Z, MOHAMMADI-IVATLOO B,ERDIN?O,et al.Optimal allocation of renewable sources and energy storage systems in partitioned power networks to create supply-sufficient areas[J].IEEE Transactions on Sustainable Energy,2021,12(2):999-1008.
• [13]唐小波，邓凯，冯雨龙，等.一种基于火焰传播模型的储能容量优化方法[J].电力系统保护与控制，2020,48(16):54-61.TANG Xiaobo,DENG Kai,FENG Yulong,et al.An energy storage capacity optimization method based on a flame propagation model[J].Power System Protection and Control,2020,48(16):54-61.
• [14]国家发展改革委.国家能源局关于加强新形势下电力系统稳定工作的指导意见[EB/OL].(2023-09-21)[2024-09-10]. http：//fgw. pingliang. gov. cn/zcwjgzzd/art/2023/art_294522c9d5774c8585c5818716e91e90.html.
• [15]张曦，刘友波，吕林，等.计及高压配电网负荷转供的城市220 kV片区电网供电能力分析[J].电网技术，2017,41(5):1612-1618.ZHANG Xi,LIU Youbo,LYU Lin,et al.Total supply capability analysis of urban 220 kV area power system considering load transfer capability of HV distribution network[J].Power System Technology,2017,41(5):1612-1618.
• [16]郑美特.电网结构规划原则的研究[J].中国电力，1999,(6):11-14.ZHENG Meite.Study on the Principle of Power Network Configuration Planning[J]. Electric Power,1999,(6):11-14.
• [17] ZHAO C Z,ZHAO J T,WU C C,et al.Power grid partitioning based on functional community structure[J].IEEE Access,2019,7:152624-152634.
• [18] NEWMAN M E J. Fast algorithm for detecting community structure in networks[J].Physical Review E,Statistical,Nonlinear,and Soft Matter Physics,2004,69(6 Pt 2):066133.
• [19]姜欣，郑雪媛，胡国宝，等.市场机制下面向电网的储能系统优化配置[J].电工技术学报，2019,34(21):4601-4610.JIANG Xin,ZHENG Xueyuan,HU Guobao,et al. Optimization of battery energy storage system locating and sizing for the grid under the market mechanism[J].Transactions of China Electrotechnical Society,2019,34(21):4601-4610.
• [20]陈光宇，吴文龙，戴则梅，等.计及故障场景集的风光储混合系统区域无功储备多目标优化[J].电力系统自动化，2022,46(17):194-204.CHEN Guangyu,WU Wenlong,DAI Zemei,et al.Multiobjective optimization of regional reactive power reserve in hybrid system with wind,photovoltaic and energy storage considering fault scenario set[J]. Automation of Electric Power Systems,2022,46(17):194-204.
• [21] HUANG S J,LI C C,LI Z C,et al. An improved label propagation algorithm-based method to develop sectionalizing strategies for parallel power system restoration[J].IEEE Access,2020,8:118497-118509.