Enhancing Resilience of Distributed Resource Coordinated Configuration in Distribution Networks Under Typhoon Disaster

doi:10.12096/j.2096-4528.pgt.260119

Abstract

Abstract:

Objectives With the increase of electrical equipment and frequent natural disasters, the demand for distribution network resilience is increasing. Therefore, a strategy of optimizing distributed resource cooperative allocation based on typhoon disaster is proposed. Methods First of all, the power supply recovery potential of electric vehicle users participating in typhoon disasters is fully considered, and the power grid failure and electric vehicle pre-disaster scheduling model under typhoon disaster is constructed. Then, aiming at the lowest load loss cost and network fault risk cost, the optimal allocation model of distributed new energy is established. Finally, taking IEEE 33 node system as an example, three scenarios are set up for comparative study. Results The comparative analysis results of the three scenarios show that the proposed strategy can achieve the lowest weighted comprehensive value of load loss and sum of branch cumulative over-limit power. Among them, the percentage of load loss reduction is 95.53%, and the reduction rate of the sum of branch cumulative over-limit power is 29.23%. Conclusions In the case of typhoon disaster, the proposed strategy can effectively restore the system load loss, improve the elasticity of the power grid, and reduce the operation risk of the system.

Key words: distributed resources, electric vehicle dispatch, typhoon disaster, grid resilience, multi-source coordination, distribution network, vehicle-to-grid (V2G)

CLC Number:

TK 01

Yongkang XIONG, Yun DU, Zhenfeng ZENG, Zhan SHU, Jianbo XIN, Guanhong SONG. Enhancing Resilience of Distributed Resource Coordinated Configuration in Distribution Networks Under Typhoon Disaster[J]. Power Generation Technology, 2026, 47(1): 204-213.

Figures/Tables 8

Fig. 1 IEEE 33-node distribution network

Fig. 2 IEEE 33-node distribution network under the influence of typhoon

Tab. 1 Influence of the number of EV on the system recovery effect

EV数量	V2G站返送功率/MW	灾后负荷缺失量/MW	负荷缺失量减少百分比/%
100	0.402	2.160	15.69
200	0.795	1.767	31.03
400	1.585	0.977	61.87
600	1.711	0.851	66.78
800	1.720	0.862	67.14

Fig. 3 Number of EV scheduling at different times during the disaster

Fig. 4 Load deficit at different times during the disaster

Tab. 2 Comparison of power grid restoration within 3 hours

配置场景	灾后负荷缺失量/MW	负荷缺失量减少百分比/%	新能源配置容量/MW
场景1	0.19	92.51	0.80
场景2	0.09	96.52	0.89
场景3	0.12	95.53	0.92

Fig. 5 Risk analysis in scenarios 2 and 3

Fig. 6 Recovery degree of load loss in distribution network under multi-source coordination

References 36

[1]	卢赓，邓婧，王渝红，等．电力系统受极端天气的影响分析及其适应策略[J]．发电技术，2021，42(6)：751-764． doi:10.12096/j.2096-4528.pgt.21059
	LU G， DENG J， WANG Y H，et al ．Analysis of power system affected by extreme weather and its adaptation strategy[J]．Power Generation Technology，2021，42(6)：751-764． doi:10.12096/j.2096-4528.pgt.21059
[2]	王要强，李午祥，韩婧，等．极端天气下配电网韧性评估及提升研究综述[J]．电力建设，2025，46(3)：1-15．
	WANG Y Q， LI W X， HAN J，et al ．Review of evaluation and improvement of distribution network resilience under extreme weather[J]．Electric Power Construction，2025，46(3)：1-15．
[3]	楼平，张磊，刘莹，等．计及配电网综合弹性与经济性的储能优化配置研究[J]．武汉大学学报，2022，55(9)：901-909．
	LOU P， ZHANG L， LIU Y，et al ．Research on optimal allocation of energy storage considering the comprehensive elasticity and economy of distribution network[J]．Engineering Journal of Wuhan University，2022，55(9)：901-909．
[4]	别朝红，林超凡，李更丰，等．能源转型下弹性电力系统的发展与展望[J]．中国电机工程学报，2020，40(9)：2735-2745．
	BIE Z H， LING C F， LI G F，et al ．Development and prospect of resilient power system in the context of energy transition[J]．Proceedings of the CSEE，2020，40(9)：2735-2745．
[5]	李继红，张笑弟，周泰斌，等．弹性配电网恢复力快速评估的解析方法研究[J]．电网与清洁能源，2024，40(10)：50-58．
	LI J H， ZHANG X D， ZHOU T B，et al ．A study on the fast assessment of the resilience of elastic distribution systems with an analytical method[J]．Power System and Clean Energy，2024，40(10)：50-58．
[6]	李宁，安卓尔，张世乾，等．弹性电网关键技术研究的进展与展望[J]．电测与仪表，2024，61(1)：8-16．
	LI N， AN Z E， ZHANG S Q，et al ．Research and prospect on key technologies of resilient power grid[J]．Electrical Measurement & Instrumentation，2024，61(1)：8-16．
[7]	杜维，杜兆斌，范国晨，等．极端天气下考虑分布式电源可用程度的配电网多源协同恢复策略[J]．广东电力，2024，37(7)：88-97．
	DU W， DU Z B， FAN G C，et al ．Multi-source cooperative restoration strategy of distribution network considering availability of distributed generation in extreme weather[J]．Guangdong Electric Power，2024，37(7)：88-97．
[8]	侯祖锋，王超，徐春华，等．考虑负荷重要程度的配电网韧性提升策略及评估方法[J]．电力科学与技术学报，2024，39(3)：78-85．
	HOU Z F， WANG C， XU C H，et al ．Promotion strategy and evaluation method of distribution network resilience considering load importance[J]．Journal of Electric Power Science and Technology，2024，39(3)：78-85．
[9]	王振浩，罗剑潇，成龙，等．面向台风天气下主动配电网韧性提升的改进分级减载策略[J]．电力系统保护与控制，2023，51(22)：34-48．
	WANG Z H， LUO J X， CHENG L，et al ．An improved tiered load shedding strategy for improving the toughness of active distribution network under typhoon weather[J]．Power System Protection and Control，2023，51(22)：34-48．
[10]	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 H M， LIU Z W， TAN M，et al ．Collaborative method of active distribution network reconstruction and component repair for elastic enhancement[J]．Power System Protection and Control，2022，50(17)：35-44．
[11]	卞艺衡，别朝红．面向弹性提升的智能配电网远动开关优化配置模型[J]．电力系统自动化，2021，45(3)：33-39．
	BIAN Y H， BIE Z H ．Resilience-enhanced optimal placement model of remote-controlled switch for smart distribution network[J]．Automation of Electric Power Systems，2021，45(3)：33-39．
[12]	张亚超，谢仕炜．面向配电网弹性提升的多时间尺度恢复策略协调优化框架[J]．电力系统自动化，2021，45(18)：28-34．
	ZHANG Y C， XIE S W ．Coordinated optimization framework of multi-timescale restoration strategies for resilience enhancement of distribution networks[J]．Automation of Electric Power Systems，2021，45(18)：28-34．
[13]	胡玉，顾洁，马睿，等．面向配电网弹性提升的智能软开关鲁棒优化[J]．电力自动化设备，2019，39(11)：85-91．
	HU Y， GU J， MA R，et al ．SNOP robust optimization for distribution network resilience enhancement[J]．Electric Power Automation Equipment，2019，39(11)：85-91．
[14]	秦清，韩蓓，李国杰，等．含智能软开关的配电网多阶段弹性力学映射与评估[J]．电工技术学报，2021，36(21)：4444-4458．
	QIN Q， HAN B， LI G J，et al ．Multi-stage elastic mechanical modeling and evaluation of distribution networks with soft open point[J]．Transactions of China Electrotechnical Society，2021，36(21)：4444-4458．
[15]	高万胜，蔺红．考虑配电网灵活性的分布鲁棒优化调度[J]．智慧电力，2024，52(1)：65-72．
	GAO W S， LIN H ．Distributionally robust optimal dispatching considering flexibility of distribution network[J]．Smart Power，2024，52(1)：65-72．
[16]	谢宇峥，章德，杨祺铭，等．基于移动储能和电动汽车V2G的弹性配电网经济性灾后恢复决策方法[J]．电工电能新技术，2024，43(7)：91-101．
	XIE Y Z， ZHANG D， YANG Q M，et al ．Economic post-disaster recovery decision-making method of elastic distribution network based on mobile energy storage and electric vehicle V2G[J]．Advanced Technology of Electrical Engineering and Energy，2024，43(7)：91-101．
[17]	张璐，黄睿，王照琪，等．考虑恢复力与经济性均衡的配电网移动储能优化配置策略[J]．电力系统自动化，2020，44(21)：23-31．
	ZHANG L， HUANG R， WANG Z Q，et al ．The optimal allocation strategy of mobile energy storage in distribution network considering the balance between resilience and economy[J]．Automation of Electric Power Systems，2020，44(21)：23-31．
[18]	焦嘉凝，柳璐，张天宇，等．台风灾害下多阶段协同的受端电网弹性提升策略[J]．电力系统自动化，2023，47(12)：9-18．
	JIAO J N， LIU L， ZHANG T Y，et al ．The multi-stage coordination strategy for improving the resilience of receiving end power grid under typhoon disaster[J]．Automation of Electric Power Systems，2023，47(12)：9-18．
[19]	LI B D， CHEN Y， WEI W，et al ．Online coordination of ling tube trailer dispatch and resilience restoration of integrated power-gas distribution systems[J]．IEEE Transactions on Smart Grid，2022，13(3)：1938-1951． doi:10.1109/tsg.2022.3141548
[20]	马继洋，蔡永翔，唐巍，等．考虑电动汽车参与韧性提升的配电网状态平滑切换控制策略[J]．电力建设，2024，45(5)：29-36．
	MA J Y， CAI Y X， TANG W，et al ．Enhancing distribution network resilience：electric vehicle integration in seamless state switching strategy[J]．Electric Power Construction，2024，45(5)：29-36．
[21]	谢宇峥，章德，杨祺铭，等．台风灾害下考虑修复不确定性和V2G的弹性城市电网动态供电恢复方法[J]．电网与清洁能源，2024，40(6)：107-114．
	XIE Y Z， ZHANG D， YANG Q M，et al ．A dynamic power supply restoration method for resilient urban power grids considering repair uncertainty and V2G under typhoon disaster[J]．Power System and Clean Energy，2024，40(6)：107-114．
[22]	刘舒，时珊珊，周政，等．考虑电动汽车的城市配电网网络重构策略[J]．电测与仪表，2025，62(6)：170-177．
	LIU S， SHI S S， ZHOU Z，et al ．Urban distribution network reconfiguration strategy considering electric vehicles[J]．Electrical Measurement & Instrumentation，2025，62(6)：170-177．
[23]	袁兆祥，张翼，聂铭，等．分布式新能源接入的10 kV配电网保护适应性分析[J]．电力建设，2024，45(2)：49-57． doi:10.12204/j.issn.1000-7229.2024.02.005
	YUAN Z X， ZHANG Y， NIE M，et al ．Protection adaptability analysis of distributed generation connected to 10 kV distribution network[J]．Electric Power Construction，2024，45(2)：49-57． doi:10.12204/j.issn.1000-7229.2024.02.005
[24]	王鹤，刘子悦，边竞，等．面向高比例分布式能源接入的输配网两阶段风险调度研究[J]．电网与清洁能源，2024，40(1)：119-129．
	WANG H， LIU Z Y， BIAN J，et al ．Research on two-stage risk scheduling for transmission and distribution power grids with high proportion of distributed energy access[J]．Power System and Clean Energy，2024，40(1)：119-129．
[25]	孙东磊，孙毅，刘蕊，等．计及多层级配电网的分布式新能源最大消纳空间分解测算[J]．中国电力，2024，57(8)：108-116．
	SUN D L， SUN Y， LIU R，et al ．Maximum accommodation capacity decomposition of distributed renewable power generation considering multi-level distribution network[J]．Electric Power，2024，57(8)：108-116．
[26]	兰天楷，孙华东，王琦，等．考虑分布式新能源的有源综合负荷模型[J]．电工技术学报，2024，39(23)：7365-7378． doi:10.1109/tpwrs.2023.3250648
	LAN T K， SUN H D， WANG Q，et al ．Active synthesis load model considering distributed renewable energy source[J]．Transactions of China Electrotechnical Society，2024，39(23)：7365-7378． doi:10.1109/tpwrs.2023.3250648
[27]	陈星宇，钱瞳，唐文虎，等．台风灾害下配电网弹性提升的二阶段优化方法[J]．广东电力，2022，35(6)：26-40．
	CHEN X Y， QIAN T， TANG W H，et al ．A two-stage optimization method for improving the elasticity of distribution network under typhoon disaster[J]．Guangdong Electric Power，2022，35(6)：26-40．
[28]	MEHRJERDI H ．Resilience oriented vehicle-to-home operation based on battery swapping mechanism[J]．Energy，2021，218：119528． doi:10.1016/j.energy.2020.119528
[29]	BROWN M A， SONI A ．Expert perceptions of enhancing grid resilience with electric vehicles in the United States[J]．Energy Research & Social Science，2019，57：101241． doi:10.1016/j.erss.2019.101241
[30]	谭畅舒，李艳，田杰，等．计及分布式能源的主动配电网恢复力综合评估[J]．电力科学与技术学报，2023，38(1)：108-113．
	TANG C S， LI Y， TIAN J，et al ．An evaluation method of active distribution network resilience considering the distributed energy resources[J]．Journal of Electric Power Science and Technology，2023，38(1)：108-113．
[31]	刘家妤，张琪祁，王颖，等．计及分布式可再生能源发电的配电网应急供电恢复策略[J]．全球能源互联网，2020，3(6)：600-606．
	LIU J Y， ZHANG Q Q， WANG Y，et al ．Service restoration strategy for distribution systems considering renewable-energy-based distributed generators[J]．Journal of Global Interconnection，2020，3(6)：600-606．
[32]	高鑫，唐飞，张童彦，等．配电网防风抗灾加固措施优化决策方法[J]．发电技术，2021，42(1)：78-85．
	GAO X， TANG F， ZHANG T Y，et al ．Optimal decision-making method of wind-proof and disaster-resistant reinforcement measures for distribution network[J]．Power Generation Technology，2021，42(1)：78-85．
[33]	蒋卓臻，向月，刘俊勇，等．集成电动汽车全轨迹空间的充电负荷建模及对配电网可靠性的影响[J]．电网技术，2019，43(10)：3789-3800．
	JIANG Z Z， XIANG Y， LIU J Y，et al ．Integrated charging load modeling of electric vehicles in full trajectory space and its impact on distribution network reliability[J]．Power System Technology，2019，43(10)：3789-3800．
[34]	XIONG Y K， ZENG Z F， XIN J B，et al ．Renewable energy time series regulation strategy considering grid flexible load and N-1 faults[J]．Energy，2023，284：129140． doi:10.1016/j.energy.2023.129140
[35]	XIANG Y， JIANG Z Z， GU C H，et al ．Electric vehicle charging in smart grid：a spatial-temporal simulation method[J]．Energy，2019，189：116221． doi:10.1016/j.energy.2019.116221
[36]	杨祺铭，李更丰，别朝红，等．台风灾害下基于V2G的城市配电网弹性提升策略[J]．电力系统自动化，2022，46(12)：130-139．
	YANG Q M， LI G F， BIE Z H，et al ．Vehicle-to-grid based resilience promotion strategy for urban distribution network typhoon disaster[J]．Automation of Electric Power System，2022，46(12)：130-139．