Review on Joint Emergency Operation of Mobile Energy Storage Networks and Distribution Systems

GUAN Zhanglei; ZHAO Tianyang; CAI Zelin

doi:10.3969/j.issn.1008-0198.2022.06.004

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Review on Joint Emergency Operation of Mobile Energy Storage Networks and Distribution Systems

更新时间：2025-06-11

- Review on Joint Emergency Operation of Mobile Energy Storage Networks and Distribution Systems
- Vol. 42, Issue 6, Pages: 19-26(2022)
- 作者机构：
  
  1. 国网湖南省电力有限公司防灾减灾中心,湖南,长沙,410199
  2. 暨南大学能源电力研究中心,广东,珠海,519000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1008-0198.2022.06.004
  CLC： TM715.3
- Published：2022
- 稿件说明：
移动端阅览
管章雷, 赵天阳, 蔡泽林. 移动储能网络与配电系统应急联动研究综述[J]. 湖南电力, 2022, 42(6): 19-26.

GUAN Zhanglei, ZHAO Tianyang, CAI Zelin. Review on Joint Emergency Operation of Mobile Energy Storage Networks and Distribution Systems[J]. 2022, 42(6): 19-26.
管章雷, 赵天阳, 蔡泽林. 移动储能网络与配电系统应急联动研究综述[J]. 湖南电力, 2022, 42(6): 19-26. DOI： 10.3969/j.issn.1008-0198.2022.06.004.

GUAN Zhanglei, ZHAO Tianyang, CAI Zelin. Review on Joint Emergency Operation of Mobile Energy Storage Networks and Distribution Systems[J]. 2022, 42(6): 19-26. DOI： 10.3969/j.issn.1008-0198.2022.06.004.

摘要

频发的极端天气事件严重影响高度电气化的终端能源系统

亟需提高配电系统弹性。为呈现移动储能网络与配电系统的应急联动现状

首先以极端天气事件诱发的非常规突发事件为切入点

总结了目前主流的极端天气事件及其组合对电力交通耦合系统影响机理;其次分析了以仓储管理和物流分配为表征的移动储能网络模型

以呈现不同可达性条件下移动储能网络的应急能力;随后基于经典配电系统弹性优化模型

形成含移动储能网络的配电系统弹性优化策略;进而分析移动储能网络及配电系统多主体属性下的协同利益分配机制及方法;最后对移动储能网络与配电系统的应急联动研究进行展望。

Abstract

The increasing occurrence of extreme weather events (EWEs) are threatening the end energy consumption under high levels of electrification

and it is urgent to increase the resilience of distribution systems. To depict the status quo of joint emergence response capabilities of the mobile energy storage networks (MESNs) and distribution systems

the unconventional emergencies introduced by EWEs are treated as the start point. The prevalent modelling techniques of EWEs and their impacts on coupled electricity and power systems (CEPSs) are summarized. The emergency response capacity of MESNs is concluded from the inventory management and logistics management perspectives considering the varying reachability conditions. Based on the classical resilient management models of distribution systems

the MESNs are incorporated into the resilience enhancement schemes. The benefits allocation among MESNs and distribution systems are overviewed from game theoretical problem formulation and equilibrium computation perspectives. The further research problems on joint emergency management of MESNs and distribution systems are highlighted.

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references

尹积军,夏清.能源互联网形态下多元融合高弹性电网的概念设计与探索[J].中国电机工程学报,2021,41(2):486-497.

别朝红, 林雁翎, 邱爱慈. 弹性电网及其恢复力的基本概念与研究展望[J]. 电力系统自动化, 2015,39(22): 1-9.

浙江日报. 全省1091383电力用户因台风停电抢修进行中[N/OL]. 浙江日报,2020-08-04[2022-10-15].https://zj.zjol.com.cn/news/1498110.html.

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.

Generation Distribution, Storage E. IEEE Draft Guide for Design, Operation, and Maintenance of Battery Energy Storage Systems, both Stationary and Mobile, and Applications Integrated with Electric Power Systems[S]. 2019.

钱英. 杭州启动可移动应急电源基地建设[EB/OL](2020-11-19)[2022-10-15]. http://211.160.252.154/content/202011/19/con_52997.html.

王龙玉.全国首个移动共享储能应急电源基地在金投运[EB/OL](2021-01-04)[2022-10-15]. http://zj.people.com.cn/n2/2021/0104/c186327-34509576.html.

黄雪. 基于物联网的电网应急物资储备与配送及应用研究[D].北京:华北电力大学,2019.

ShenX, Shahidehpour M, Han Y, et al. Expansion planning of active distribution networks with centralized and distributed energy storage systems[J]. IEEE Transactions on Sustainable Energy, 2016,8(1): 126-134.

YaoS, Wang P, Zhao T. Transportable energy storage for more resilient distribution systems with multiple microgrids[J]. IEEE Transactions on Smart Grid, 2019, 10 (3):3331 – 3341.

许寅, 王颖, 和敬涵, 等. 多源协同的配电网多时段负荷恢复优化决策方法[J]. 电力系统自动化, 2020, 44(2): 123-131.

Yao S, Wang P, Liu X, et al. Rolling optimization of mobile energy storage fleets for resilient servicerestoration[J]. IEEE Transactions on Smart Grid, 2019,11(2):1030-1043.

梅生伟.刘锋,魏韡.工程博弈论基础及电力系统应用[M]. 北京:科学出版社, 2016.

张晓东,李明新,汤胜茗,朱蓉.台风过境风电场的CFD数值模拟方法研究[J/OL].太阳能学报:1-8(2022-09-30)[2022-10-24].DOI:10.19912/j.0254-0096.tynxb.2022-0763.

孙学金,李岩,张燕鸿,等.基于WRF-LES的干旱湖区近地面风场模拟与敏感性研究[J].高原气象,2017,36(3):835-844.

廖如婷,徐宗学,叶陈雷,等.基于SWMM和InfoWorks ICM模型的城市暴雨内涝过程模拟——以北京市大红门排水区为例[J/OL].水资源保护:1-16(2022-09-14)[2022-10-24].http://kns.cnki.net/kcms/detail/32.1356.TV.20220913.1724.006.html.

张建, 和鹏飞, 李琼芳,等. 基于SWMM-CA耦合模型的镇江市内涝数值模拟[J]. 水利规划与设计, 2022(9):46-49,147.

潘文俊, 柳树票, 徐嫣,等. 基于多维耦合模型的城区内涝模拟及风险评估[J]. 陕西水利, 2022(10):19-22.

Brostrom E,Ahlberg J,Soder L.Modelling of ice storms and their impact applied to a part of the swedish transmission network[C]// 2007 IEEE Lausanne Power Tech.IEEE,2007:1593-1598.

Abdelmalak M, Thapa J, Benidris M. Resilience Assessment Approach for Transmission Systems Considering Uncertainties of Ice Storms[C]//2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). IEEE, 2021: 1-6.

卢银均, 李翊嘉, 姜金节,等. 输电线路故障统计分析及防控对策研究[J]. 山东电力技术, 2021, 48(4):47-52.

黄捷. 基于改进粒子群法的输电线路覆冰预测研究[J]. 电气开关, 2020, 58(5):29-31,41.

孙荣富, 徐海翔, 吴林林,等. 中国区域低温天气及其对风力发电影响的统计[J]. 全球能源互联网, 2022, 5(1):2-10.

王必强,陈正洪,孙朋杰,等.麻城“7.1”暴雨过程特征及对光伏电站影响分析[J].气象科技进展,2021,11(4):37-40.

王建,姚江宁,刘泽青,等.恶劣天气下配电网故障统计分析及其概率分布拟合[J].电力系统保护与控制,2022,50(17):143-153.

周晓敏,葛少云, 李腾,等. 极端天气条件下的配电网韧性分析方法及提升措施研究[J]. 中国电机工程学报, 2018, 38(2):505-513,681.

韩西丽, 罗阳. 天气因素对北京市地铁客流量的影响[J]. 重庆交通大学学报(自然科学版), 2020, 39(10):1-4.

秦艺帆, 石飞, 徐晓燕. 可达性视角下极端天气事件对南京市通勤出行的影响分析[J]. 现代城市研究, 2019, 34(10):91-101.

林赐云,谢天承,覃蔚,等.冰雪天气下交叉口信号配时优化方法[J].吉林大学学报(工学版):2022,52(10):2316-2324.

唐少虎, 周进,尚春琳,等. 降雨情景下城市道路交通信号控制优化模型与方法[J]. 系统仿真学报, 2020, 32(2):149-156.

Liao J, Wang R, Xia S, et al. Joint planning of distribution network and electric vehicle charging station considering extreme weather events[C]//Journal of Physics: Conference Series. IOP Publishing, 2022, 2276(1): 012006.

李宝聚, 齐宏伟, 傅吉悦,等. 极端气象天气对新能源运行影响分析[J]. 吉林电力, 2022, 50(1):10-13.

程江洲,冯馨以,冯梦婷,等.计及气象因素的风电机组故障诊断与风险预测[J].科学技术与工程,2022,22(22):9645-9651.

Huang S, He L, Gu Y, et al. Design of a mobile charging service for electric vehicles in an urbanenvironment[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 16(2): 787-798.

Liu X, Zhao T, Yao S, et al. Distributed operation management of battery swapping-chargingsystems[J]. IEEE Transactions on Smart Grid, 2018, 10(5): 5320-5333.

Zhang Z,Gui H, Gu D J, et al. A hierarchical active balancing architecture for lithium-ion batteries[J]. IEEE Transactions on Power Electronics, 2016, 32(4): 2757-2768.

Malandraki C, Daskin M S. Time dependent vehicle routing problems: Formulations, properties and heuristic algorithms[J]. Transportation Science, 1992, 26(3): 185-200.

Sun Y, Zhong J, Li Z, et al. Stochastic scheduling of battery-based energy storage transportation system with the penetration of windpower[J]. IEEE Transactions on Sustainable Energy, 2016, 8(1): 135-144.

Zhao T, Zhang H, Liu X, et al. Resilient unit commitment for day-ahead market considering probabilistic impacts of hurricanes[J]. IEEE Transactions on Power Systems, 2020,36(2):1082-1094.

Zhang B,Dehghanian P, Kezunovic M. Optimal allocation of PV generation and battery storage for enhanced resilience[J]. IEEE Transactions on Smart Grid, 2017, 10(1): 535-545.

Li Y,Xie K, Wang L, et al. Exploiting network topology optimization and demand side management to improve bulk power system resilience under windstorms[J]. Electric Power Systems Research, 2019, 171: 127-140.

Mohamed M A,Awwad E M, El-Sherbeeny A M, et al. Optimal scheduling of reconfigurable grids considering dynamic line rating constraint[J]. IET Generation, Transmission & Distribution, 2020, 14(10): 1862-1871.

Wang C, Hou Y,Qiu F, et al. Resilience enhancement with sequentially proactive operation strategies[J]. IEEE Transactions on Power Systems, 2016, 32(4): 2847-2857.

Wang Y, Huang L,Shahidehpour M, et al. Resilience-constrained hourly unit commitment in electricity grids[J]. IEEE Transactions on Power Systems, 2018, 33(5): 5604-5614.

许珞,郭庆来,刘新展,等.提升电力信息物理系统韧性的通信网鲁棒优化方法[J].电力系统自动化,2021,45(3):68-75.

黄淳驿,王承民,谢宁,等.基于运行—市场强耦合特性的配电网扩展规划[J].中国电机工程学报,2019,39(16):4716-4731,4974.

Hu C, Lu J, Liu X, et al. Robust vehicle routing problem with hard time windows under demand and travel timeuncertainty[J]. Computers & Operations Research, 2018, 94: 139-153.

Cui Y, Hu Z, Luo H. Optimal day-ahead charging and frequency reserve scheduling of electric vehicles considering the regulation signaluncertainty[J]. IEEE Transactions on Industry Applications, 2020, 56(5): 5824-5835.

Zhao C, Jiang R. Distributionally robust contingency-constrained unitcommitment[J]. IEEE Transactions on Power Systems, 2017, 33(1): 94-102.

Ji R, Lejeune M A. Data-driven optimization of reward-risk ratiomeasures[J]. INFORMS Journal on Computing, 2021,33(3):1120-1137.

贺帅佳,阮贺彬,高红均,等.分布鲁棒优化方法在电力系统中的理论分析与应用综述[J].电力系统自动化,2020,44(14):179-191.

王月汉,刘文霞,姚齐,等.面向配电网韧性提升的移动储能预布局与动态调度策略[J].电力系统自动化,2022,46(15):37-45.

郁琛,李尚轩,谢云云,等.考虑交通网与配电网信息融合的台风后配电网抢修策略优化[J].电力系统自动化,2022,46(4):15-24.

姜心怡,陈健,司凯伦,等.考虑动态交通网络的综合能源配电网灾后紧急响应策略[J].智慧电力,2020,48(8):31-37,83.

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.

丁明,方慧,毕锐,等.基于集群划分的配电网分布式光伏与储能选址定容规划[J].中国电机工程学报,2019,39(8):2187-2201.

芮涛,李国丽,胡存刚,等.考虑电价机制的微电网群主从博弈优化方法[J].中国电机工程学报,2020,40(8):2535-2546.

Wogrin S, Pineda S, Tejada-Arango D A. Applications of bilevel optimization in energy and electricity markets[M]//Bilevel Optimization. Springer, Cham, 2020: 139-168.

赵天阳. 基于博弈论的电动汽车与智能电网交互决策研究[D].北京:华北电力大学,2017.

Y C Liu,H F Xu,S Yang,et al. Distributionally robust equilibrium for continuous games: Nash and Stackelbergmodels[J]. European Journal of Operational Research, 2018, 265(2): 631-643.

Forges F, Serrano R. Cooperative games with incomplete information: Some openproblems[J]. International Game Theory Review, 2013, 15(2): 1340009.

Moore J T, Bard J F. The mixed integer linear bilevel programmingproblem[J]. Operations research, 1990, 38(5): 911-921.

Sagratella S. On generalized Nash equilibrium problems with linear coupling constraints and mixed-integer variables[J]. Optimization, 2019, 68(1): 197-226.

Zeng B, Zhao L. Solving two-stage robust optimization problems using a column-and-constraint generation method[J]. Operations Research Letters, 2013, 41(5): 457-461.

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