[1]程子霞,唐兴,柴旭峥,等.考虑需求响应的配电网智能储能软开关双层优化配置[J].郑州大学学报(工学版),2026,47(XX):1-10.[doi:10.13705/j.issn.1671-6833.2025.05.015]
　CHENG Zixia,TANG Xing,CHAI Xuzheng,et al.Optimized Configuration of Two Layers of Smart Energy Storage Soft Switches for Distribution Networks Considering Demand Response[J].Journal of Zhengzhou University (Engineering Science),2026,47(XX):1-10.[doi:10.13705/j.issn.1671-6833.2025.05.015]
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考虑需求响应的配电网智能储能软开关双层优化配置()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年XX
页码:
1-10
栏目:
出版日期:
2026-09-10

文章信息/Info

Title:
Optimized Configuration of Two Layers of Smart Energy Storage Soft Switches for Distribution Networks Considering Demand Response
作者:
程子霞1 ;  唐兴1 ;  柴旭峥2 ;  郭姿婵1 ;  姚文博1
1. 郑州大学 电气与信息工程学院,河南 郑州 450001;2. 国网许昌供电公司,河南 许昌 461000
Author(s):
CHENG Zixia1 ;  TANG Xing1 ;  CHAI Xuzheng2 ;  GUO Zichan1 ;  YAO Wenbo1
1. Schoo l of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. State Grid Xuchang Power Supply Company, Xuchang 461000, China
关键词:
智能储能软开关;  Frank-Copula 函数;  双层规划;  鲸鱼优化算法;  二阶锥规划
Keywords:
soft open point integrated with energy storage system;  Frank-Copula function;  two-layer planning;  whale optimization algorithms;  second-order cone planning
分类号:
TM751TM744TM732
DOI:
10.13705/j.issn.1671-6833.2025.05.015
文献标志码:
A
摘要:
针对含高比例新能源电力系统面临的网络损耗增大、电压越限等问题，提出了考虑需求响应的配电网智能储能软开关（E-SOP）双层规划策略。首先，考虑风光出力相关特性，基于Frank-Copula函数生成风光出力典型场景；其次，建立了E-SOP双层规划模型，上层以配电网年综合运行成本最低为目标进行E-SOP的选址定容，下层考虑需求响应参与，以各个场景运行成本最小为目标进行运行优化，并采用多策略改进的鲸鱼优化算法（MIWOA）和二阶锥规划（SOCP）的混合算法对模型进行求解；最后，采用IEEE33节点系统进行算例分析。仿真结果显示：系统的年综合成本降低了7.94%，验证了所提方案能够有效提高配电网运行的稳定性和经济型。
Abstract:
Aiming at the problems of increasing network losses and voltage overruns faced by power systems containing a high proportion of new energy, a two-layer planning strategy of soft open point integrated with energy storage system (E-SOP) for distribution networks considering demand response is proposed. Firstly, the typical scenarios of wind power output are generated based on Frank-Copula function considering the relevant characteristics of wind power output. Secondly, a two-layer planning model of E-SOP was established, where the upper layer takes the objective of lowest annual comprehensive operating cost of the distribution network for the siting and capacity setting of E-SOP, and the lower layer takes the demand response participation into consideration, and the operation optimization is carried out with the objective of the minimum operating cost of each scenario, and adopts the multi-strategy improved whale optimization algorithm (MIWOA) and Second-order Conic Programming (SOCP) are used to solve the model. Finally, the IEEE33-node systems are used for example analysis, and the simulation results showed that the annual integrated costs of the systems are reduced by 7.94%, respectively, which verifies that the proposed scheme could effectively improve the stability and economy of distribution network operation.

参考文献/References:

[1] 杨亘烨, 孙荣富, 丁然, 等. 计及光伏多状态调节能力的配电网多时间尺度电压优化[J]. 中国电力, 2022, 55(3): 105-114.
YANG G Y, SUN R F, DING R, et al. Multi time scale reactive power and voltage optimization of distribution network considering photovoltaic multi state regulation capability[J]. China Electricity Power, 2022, 55(3): 105-114.
[2] 王杰, 王维庆, 王海云, 等. 考虑越限风险的主动配电网中DG、SOP与ESS的两阶段协调规划[J]. 电力系统保护与控制, 2022, 50(24): 71-82.
WANG J, WANG W Q, WANG H Y, et al. Two-stage coordinated planning of DG, SOP and ESS in an active distribution network considering violation risk[J]. Power System Protection and Control, 2022, 50(24): 71-82.
[3] 朱晓荣, 鹿国徽, 谢婉莹. 考虑源网荷灵活性资源的配电网储能鲁棒规划[J]. 电力自动化设备, 2021, 41(8): 16-14+40.
ZHU X R, LU G W, XIE W Y. Robust planning of energy storage in distribution network considering source-network-load flexible resources[J]. Electric Power Automation Equipment, 2021, 41(8): 16-14+40.
[4] CAO W, WU J, JENKINS N, et al. Operating principle of Soft Open Points for electrical distribution network operation[J]. Applied Energy, 2016, 164: 245-257.
[5] JI H, WANG C, LI P, et al. Quantified flexibility evaluation of soft open points to improve distributed generator penetration in active distribution networks based on different convex programming[J]. Applied Energy, 2018, 218: 338-348.
[6] 刘洋, 谢平平, 黄炳开, 等. 基于智能储能软开关的多馈线共享储能鲁棒性规划[J]. 电力自动化设备, 2024, 44(7): 238-245.
LIU Y, XIE P P, HUANG B K, et al. Robust planning of multi-feeder-sharing energy storage based on E-SOP[J]. Electric Power Automation Equipment, 2024, 44(7): 238-245.
[7] CAO L, WU J Z, THOMAS L E, et al. Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation[J]. Applied Energy, 2016, 184: 427-437.
[8] LI P, JI H, SONG G, et al. A Combined Central and Local Voltage Control Strategy of Soft Open Points in Active Distribution Networks[J]. Energy Procedia, 2019, 158: 2524-2529.
[9] EHSANBAKHSH M, SEPASIAN M S. Bi-objective robust planning model for optimal allocation of soft open points in active distribution network: A flexibility improvement approach[J]. Electric Power Systems Research, 2023, 224.
[10] HE Y, WU H B, BI R, et al. Coordinated planning of distributed generation and soft open points in active distribution network based on complete information dynamic game[J]. International Journal of Electrical Power and Energy Systems, 2022, 138.
[11] EHSANBAKHSH M, SEPASIAN M S. Simultaneous siting and sizing of Soft Open Points and the allocation of tie switches in active distribution network considering network reconfiguration[J]. IET Generation, Transmission & Distribution, 2022, 17(1): 263-280.
[12] HUANG Z, XU Y, CHEN L, et al. Coordinated planning method considering flexible resources of active distribution network and soft open point integrated with energy storage system[J]. IET Generation, Transmission & Distribution, 2023, 17(23): 5273-5285.
[13] 何叶, 杨晓东, 吴惠斌, 等. 提升新型配电系统灵活性的软开点与储能系统协调规划[J]. 电力系统自动化, 2023, 47(18): 142-150.
HE Y, YANG X D, WU H B, et al. Coordinated Planning of Soft Open Point and Energy Storage System for Flexibility Enhancement of New Distribution System[J]. Automation of Electrical Power System, 2023, 47(18): 142-150.
[14] 陈依杭, 李晓露, 柳劲松, 等. 考虑配电网灵活性供需匹配度与网络传输的储能和智能软开关协同规划[J/OL]. 电力建设, 1-17[2024-09-18].
CHEN Y H, LI X L, LIU J S, et al. Energy Storage System and Soft Open Point Coordinated Planning Considering Distribution Network Flexibility Supply-Demand Matching and Network Transmission[J/OL]. Electrical Power Construction, 1-17[2024-09-18].
[15] 王成山, 宋关羽, 李鹏, 等. 考虑分布式电源运行特性的有源配电网智能软开关SOP规划方法[J]. 中国电机工程学报, 2017, 37(7): 1889-1897.
WANG C S, SONG G Y, LI P, et al. Optimal Configuration of Soft Open Point for Active Distribution Network Considering the Characteristics of Distributed Generation[J]. Proceedings of the CSEE, 2017, 37(7): 1889-1897.
[16] 于文山, 黎明, 由蕤. 含储能的三端SOP对主动配电网的潮流优化研究[J]. 太阳能学报, 2022, 43(3): 101-110.
YU W S, LI M, YOU R, et al. Power flow optimization study on active distribution network based on three-terminal SOP with energy storage system[J]. Acta Energiae Solaris Sinica, 2022, 43(3): 101-110.
[17] 米阳, 申杰, 卢长坤, 等. 考虑含储能的三端智能软开关与需求侧响应的主动配电网有功无功协调优化[J]. 电力系统保护与控制, 2024, 52(3): 104-118.
MI Y, SHEN J, LU C K, et al. Active and reactive power coordination optimization of an active distribution network considering a three-terminal soft open point with energy storage and demand response[J]. Power System Protection and Control, 2024, 52(3): 104-118.
[18] HAN S, QIAO Y, YAN J, et al. Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network[J]. Applied Energy, 2019, 239: 181-191.
[19] 李晖, 高涵宇, 张艳, 等. 考虑相关性的大规模风光互补电网扩展规划[J]. 电网技术, 2018, 42(7): 2120-2127.
LI H, GAO H Y, ZHANG Y, et al. Expansion planning of large scale hybrid wind-photovoltaic transmission network considering correlation[J]. Power System Technology, 2018, 42(7): 2120-2127.
[20] 林炜, 刘天羽. 基于场景生成的超级电容-氢混合储能容量优化配置[J/OL]. 电测与仪表, 1-10[2024-09-19].
LIN W, LIU T Y. Optimal allocation of super capacitor-hydrogen hybrid energy storage capacity based on scenario generation[J/OL]. Electrical Measurement & Instrumentation, 1-10[2024-09-19].
[21] 孙浩锋. “源网荷储”协调的主动配电网运行优化分析[D]. 郑州:郑州大学, 2021.
SUN H F. “Optimization Analysis of Active Distribution Grid Operation With Coordination of Source Grid, Load and Storage”[D]. Zhengzhou: Zhengzhou University, 2021.
[22] SHAFIK M B, CHEN H K, RASHED G I, et al. Adequate Topology for Efficient Energy Resources Utilization of Active Distribution Networks Equipped With Soft Open Points[J]. IEEE Access, 2019, 7: 99003-99016.
[23] 贾世会, 刘立夫, 迟晓妮, 等. 基于BWO和WOA的VMD-LSTM短期风速预测[J/OL]. 郑州大学学报(工学版), 1-8[2025-02-18].
JIA S H, LIU L F, CHI X N, et al. Short-term wind speed prediction by VMD-LSTM based on BWO and WOA[J/OL]. Journal of Zhengzhou University (Engineering Edition), 1-8[2025-02-18].
[24] Liping Z, Yue Z, Wei R, et al. An Energy-Efficient Authentication Scheme Based on Chebyshev Chaotic Map for Smart Grid Environments[J]. IEEE INTERNET OF THINGS JOURNAL, 2022, 8(23): 17120-17130.
[25] 黄元春, 张凌波. 改进的鲸鱼优化算法及其应用[J现代计算机工程与应用, 2019, 55(21): 220-226+270.
HUANG Y C, ZHANG L B. Improved whale optimization algorithm and its application[J]. Computer Engineering and Applications, 2019, 55(21): 220-226+270.
[26] 潘悦悦, 吴立飞, 杨晓忠. 一种多策略改进鲸鱼优化算法的混沌系统参数辨识[J]. 智能系统学报, 2024, 19(1): 176-189.
PAN Y Y, WU L F, YANG X Z. Parameter identification of chaotic system based on a multi-strategy improved whale optimization algorithm[J]. CAAI Transactions on Intelligent Systems, 2024, 19(1): 176-189.
[27] 张文煜, 马可可, 郭振海, 等. 基于灰狼算法和极限学习机的风速多步预测[J]. 郑州大学学报(工学版), 2024, 45(2): 89-96.
ZHANG W Y, MA K K, GUO Z H, et al. Multi-step prediction of wind speed based on gray wolf algorithm and extreme learning machine[J]. Journal of Zhengzhou University (Engineering Edition), 2024, 45(2): 89-96.

备注/Memo

备注/Memo:
收稿日期:2025-03-20;修订日期:2025-05-28
基金项目:国家自然科学基金资助项目(52107130)
作者简介:程子霞(1974— ),女,河南焦作人,郑州大学副教授,博士,主要从事高电压与绝缘技术研究,E-mail:chzx@ zzu. edu. cn。
更新日期/Last Update: 2026-01-14