Resilience Planning of Power Distribution System Emergency Resources Considering Multiple Uncertainties Under Heavy Rain Disasters

doi:10.16183/j.cnki.jsjtu.2023.594

Abstract

Abstract:

In recent years, the impact of heavy rain disasters on the reliable power supply of distribution networks has become increasingly prominent, and it is extremely challenging to ensure the supply of important loads in the case of large-scale and multi-point serious faults. Rational deployment of emergency resources can help reduce the loss of important loads in the system, thereby improving the resilience of the distribution system. Therefore, a resilience planning method for emergency resources in the distribution system considering multiple uncertainties under heavy rain disasters is proposed in this paper, and a two-tier planning model for the resilience improvement of the distribution system is established considering the emergency power supply and emergency energy storage, with the upper model aiming to minimize the net cost of investment cost and load loss, while the lower model aiming to minimize the comprehensive load loss in multiple island scenarios. Additionally, a stochastic simulation generation method for multi-island scenarios in distribution network under heavy rain disasters is proposed, and a scene reduction method based on clustering algorithm is proposed based on the probability and severity of each scenario to serve the scene screening of the lower-level optimization model. The analysis of the actual 62-node system of distribution network shows that the proposed method can effectively reduce the load loss of the system in disasters while considering investment economy, and improve the power supply capacity of the distribution network for important loads.

Key words: power distribution system, resilience planning, emergency resource deployment, scenario generation and reduction

CLC Number:

TM715

SHEN Zeyuan, ZHAO Haibo, WANG Chao, LI Jia, WANG Yao, LI Qi. Resilience Planning of Power Distribution System Emergency Resources Considering Multiple Uncertainties Under Heavy Rain Disasters[J]. Journal of Shanghai Jiao Tong University, 2025, 59(11): 1742-1753.

Figures/Tables 12

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References 22

[1]	张中丹, 皮霞, 杨德州, 等. 电池储能电站替代变电站升级的优化决策配置方法[J]. 电力建设, 2023, 44(7): 41-49. doi: 10.12204/j.issn.1000-7229.2023.07.005
	ZHANG Zhongdan, PI Xia, YANG Dezhou, et al. Optimal decision-making configuration method for battery energy storage station to replace substation upgrades[J]. Electric Power Construction, 2023, 44(7): 41-49. doi: 10.12204/j.issn.1000-7229.2023.07.005
[2]	刘自发, 张子腾. 考虑多主体博弈的配电网源网荷储协同规划[J]. 电网技术, 2023, 47(12): 5046-5058.
	LIU Zifa, ZHANG Ziteng. Collaborative planning of distribution network source-network-load-storage considering multi-agent game[J]. Power System Technology, 2023, 47(12): 5046-5058.
[3]	彭寒梅, 刘子威, 谭貌, 等. 面向弹性提升的主动配电网重构与元件修复协同方法[J]. 电力系统保护与控制, 2022, 50(17): 35-44.
	PENG Hanmei, LIU Ziwei, TAN Mao, et al. Collaborative method for an active distribution network reconfiguration and component repair for resilience improvement[J]. Power System Protection & Control, 2022, 50(17): 35-44.
[4]	张良一. 配电网防灾规划研究[D]. 杭州: 浙江大学, 2020.
	ZHANG Liangyi. Research on disaster prevention planning of distribution networks[D]. Hangzhou: Zhejiang University, 2020.
[5]	MA S S, LI S Y, WANG Z Y, et al. Resilience-oriented design of distribution systems[J]. IEEE Transactions on Power Systems, 2019, 34(4): 2880-2891. doi: 10.1109/TPWRS.59 URL
[6]	李吉侗, 王洲, 达紫祺, 等. 计及恶劣天气时空相关性的弹性配电网储能电站多层规划方法[J]. 电力系统保护与控制, 2023, 51(9): 128-137.
	LI Jitong, WANG Zhou, DA Ziqi, et al. Multi-level planning method of energy storage stations for resilient distribution networks considering spatio-temporal correlation of severe weather[J]. Power System Protection & Control, 2023, 51(9): 128-137.
[7]	MA S S, SU L, WANG Z Y, et al. Resilience enhancement of distribution grids against extreme weather events[J]. IEEE Transactions on Power Systems, 2018, 33(5): 4842-4853. doi: 10.1109/TPWRS.59 URL
[8]	王子昊, 王旭, 蒋传文, 等. 基于近端策略优化算法的灾后配电网韧性提升方法[J]. 电力系统自动化, 2022, 46(21): 62-70.
	WANG Zihao, WANG Xu, JIANG Chuanwen, et al. Resilience improvement method for post-disaster distribution network based on proximal policy optimization algorithm[J]. Automation of Electric Power Systems, 2022, 46(21): 62-70.
[9]	刘峰伟, 陈佳佳, 赵艳雷, 等. 端对端交易模式下基于移动储能共享的配电系统韧性提升[J]. 电力系统自动化, 2022, 46(16): 151-159.
	LIU Fengwei, CHEN Jiajia, ZHAO Yanlei, et al. Resilience enhancement for distribution system based on mobile energy storage sharing in peer-to-peer transaction mode[J]. Automation of Electric Power Systems, 2022, 46(16): 151-159.
[10]	郑子萱, 倪扶瑶, 汪颖, 等. 基于模型预测控制混合储能系统的直流微电网韧性提升策略[J]. 电力自动化设备, 2021, 41(5): 152-159.
	ZHENG Zixuan, NI Fuyao, WANG Ying, et al. Operation resilience enhancing strategy of DC microgrid based on model predictive controlled hybrid energy storage system[J]. Electric Power Automation Equipment, 2021, 41(5): 152-159.
[11]	WANG Y, XU Y, HE J H, et al. Coordinating multiple sources for service restoration to enhance resilience of distribution systems[J]. IEEE Transactions on Smart Grid, 2019, 10(5): 5781-5793. doi: 10.1109/TSG.5165411 URL
[12]	许寅, 和敬涵, 王颖, 等. 韧性背景下的配网故障恢复研究综述及展望[J]. 电工技术学报, 2019, 34(16): 3416-3429.
	XU Yin, HE Jinghan, WANG Ying, et al. A review on distribution system restoration for resilience enhancement[J]. Transactions of China Electrotechnical Society, 2019, 34(16): 3416-3429.
[13]	何叶, 杨晓东, 吴红斌, 等. 面向新型配电系统灵活性提升的智能软开关与储能系统协调规划[J]. 电力系统自动化, 2023, 47(18): 142-150.
	HE Ye, YANG Xiaodong, WU Hongbin, et al. Coordinated planning of soft open point and energy storage system for flexibility enhancement of new distribution system[J]. Automation of Electric Power Systems, 2023, 47(18): 142-150.
[14]	黄梦旗, 李勇汇, 曾海燕, 等. 计及高渗透率分布式电源的韧性配电网数据驱动鲁棒规划方法[J]. 电力建设, 2023, 44(6): 79-90. doi: 10.12204/j.issn.1000-7229.2023.06.009
	HUANG Mengqi, LI Yonghui, ZENG Haiyan, et al. Data-driven robust planning method for resilient distribution networks considering high-permeability distributed generation[J]. Electric Power Construction, 2023, 44(6): 79-90. doi: 10.12204/j.issn.1000-7229.2023.06.009
[15]	MA S S, CHEN B K, WANG Z Y. Resilience enhancement strategy for distribution systems under extreme weather events[J]. IEEE Transactions on Smart Grid, 2018, 9(2): 1442-1451. doi: 10.1109/TSG.2016.2591885 URL
[16]	王钰山, 邓晖, 王旭, 等. 考虑台风时空演变的配电网移动储能优化配置与运行策略[J]. 电力系统自动化, 2022, 46(9): 42-51.
	WANG Yushan, DENG Hui, WANG Xu, et al. Optimal configuration and operation strategy of mobile energy storage in distribution network considering spatial-temporal evolution of typhoon[J]. Automation of Electric Power Systems, 2022, 46(9): 42-51.
[17]	LÜ C X, YU H, LI P, et al. Coordinated operation and planning of integrated electricity and gas community energy system with enhanced operational resilience[J]. IEEE Access, 2020, 8: 59257-59277. doi: 10.1109/Access.6287639 URL
[18]	王子昊, 王旭, 蒋传文, 等. 基于近端策略优化算法的灾后配电网韧性提升方法[J]. 电力系统自动化, 2022, 46(21): 62-70.
	WANG Zihao, WANG Xu, JIANG Chuanwen, et al. Resilience improvement method for post-disaster distribution network based on proximal policy optimization algorithm[J]. Automation of Electric Power Systems, 2022, 46(21): 62-70.
[19]	SALIMI M, NASR M A, HOSSEINIAN S H, et al. Information gap decision theory-based active distribution system planning for resilience enhancement[J]. IEEE Transactions on Smart Grid, 2020, 11(5): 4390-4402. doi: 10.1109/TSG.5165411 URL
[20]	YUAN W, WANG J H, QIU F, et al. Robust optimization-based resilient distribution network planning against natural disasters[J]. IEEE Transactions on Smart Grid, 2016, 7(6): 2817-2826. doi: 10.1109/TSG.2015.2513048 URL
[21]	周士超, 刘晓林, 熊展, 等. 考虑韧性提升的交直流配电网线路加固和储能配置策略[J]. 上海交通大学学报, 2021, 55(12): 1619-1630. doi: 10.16183/j.cnki.jsjtu.2021.279
	ZHOU Shichao, LIU Xiaolin, XIONG Zhan, et al. Line hardening and energy storage system configuration strategies for resilience enhancement of a hybrid AC-DC distribution system[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1619-1630.
[22]	吴勇军, 薛禹胜, 谢云云, 等. 台风及暴雨对电网故障率的时空影响[J]. 电力系统自动化, 2016, 40(2): 20-29.
	WU Yongjun, XUE Yusheng, XIE Yunyun, et al. Space-time impact of typhoon and rainstorm on power grid fault probability[J]. Automation of Electric Power Systems, 2016, 40(2): 20-29.

应急电源位置(节点)	应急电源功率/kW	应急储能位置(节点)	应急储能容量/(kW·h)
8	601	11	555
27	1000	30	554
46	989	45	1200