考虑灾害事件攻防顺序的电网防灾资源分配策略

doi:10.11930/j.issn.1004-9649.201912016

中国电力 ›› 2020, Vol. 53 ›› Issue (1): 49-55.DOI: 10.11930/j.issn.1004-9649.201912016

• 信息物理电力系统(CPPS)专栏 • 上一篇下一篇

考虑灾害事件攻防顺序的电网防灾资源分配策略

赵艳军¹, 梁坤杰², 龙霏³, 唐景星¹, 王洪涛²

1. 广东电网有限责任公司电力科学研究院, 广东广州 510000;
2. 电网智能化调度与控制教育部重点实验室(山东大学), 山东济南 250061;
3. 广东电网有限责任公司电力调度控制中心, 广东广州 510000

收稿日期:2019-12-02 发布日期:2020-01-15
通讯作者: 王洪涛(1973-),男,通信作者,博士,教授,博士生导师,从事电力系统恢复控制与新能源并网研究,E-mail:whtwhm@sdu.edu.cn
作者简介:赵艳军(1987-),女,硕士,高级工程师,从事电力系统分析与控制研究,E-mail:471187204@qq.com;梁坤杰(1996-),男,硕士研究生,从事电力系统恢复决策与控制研究,E-mail:lkjsjd@126.com;龙霏(1985-),女,硕士,高级工程师,从事电力系统分析与控制研究,E-mail:longfei198505@126.com;唐景星(1985-),男,硕士,高级工程师,从事电力系统分析与控制研究,Email:eetang@126.com
基金资助:
国家自然科学基金资助项目(51177092)

A Resource Allocation Strategy for Power Grid Disaster Prevention Considering the Attack and Defense Sequence of Disaster Events

ZHAO Yanjun¹, LIANG Kunjie², LONG Fei³, TANG Jingxing¹, WANG Hongtao²

1. Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510000, China;
2. Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education (Shandong University), Jinan 250061, China;
3. Power Dispatching Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510000, China

Received:2019-12-02 Published:2020-01-15
Supported by:
This work is supported by National Natural Science Foundation of China (No. 51177092)

摘要/Abstract

摘要： 中国南方台风多发地区的电网防风加固等防灾资源分配与建设是大电网安全防御的关键问题之一，通常将其建模成防御者-攻击者-防御者（D-A-D）的动态博弈模型进行求解，但是现有的D-A-D模型没有考虑攻击者攻击顺序以及运行方式调整的动态过程。提出考虑攻击者攻击顺序以及潮流调整动态过程的多阶段动态博弈模型，并将其转化成可用列与约束生成算法（C & CG 算法）求解的改进D-A-D模型，得出最优防御资源分配结果。在IEEE39节点系统上进行了所提的模型与算法的仿真，仿真结果表明，所提出的模型更加符合电网的实际情况，求解算法也更高效。

关键词: 安全防御, 多阶段动态博弈, 改进D-A-D模型, 列与约束生成算法

Abstract: In the typhoon-prone areas in southern China, the allocation of disaster prevention resources such as windproof reinforcement of power grid, is one of the key issues in the security defense of large power grid. The dynamic game model of defender-attacker-defender (D-A-D) is usually established to solve the problem. However, the existing D-A-D model does not consider the dynamic process of attacker's attack order and operation mode adjustment. A multi-stage dynamic game model is thus proposed with consideration of the dynamic process of attacker's attack order and dynamic process of power flow adjustment, and is transformed into an improved D-A-D model that can be solved by the column and constraint generation algorithm to obtain the optimal allocation of defense resources. The simulation results of the proposed model and algorithm on the IEEE39 node system show that the proposed model is more in line with the actual situation of power grid and the algorithm is more efficient.

Key words: security defenses, multi-stage dynamic game, improved D-A-D model, column and constraint generation algorithm

赵艳军, 梁坤杰, 龙霏, 唐景星, 王洪涛. 考虑灾害事件攻防顺序的电网防灾资源分配策略[J]. 中国电力, 2020, 53(1): 49-55.

ZHAO Yanjun, LIANG Kunjie, LONG Fei, TANG Jingxing, WANG Hongtao. A Resource Allocation Strategy for Power Grid Disaster Prevention Considering the Attack and Defense Sequence of Disaster Events[J]. Electric Power, 2020, 53(1): 49-55.

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参考文献

[1] 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, 83
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, 83
[2] 汤奕, 徐香香, 陈彬, 等. 基于台风路径预测信息的输电杆塔累积损伤模型研究[J]. 中国电力, 2019, 52(7):69-77
TANG Yi, XU Xiangxiang, CHEN Bin, et al. Research on cumulative damage model of transmission tower based on typhoon path prediction information[J]. Electric Power, 2019, 52(7):69-77
[3] 王昊吴, 罗建裕, 徐泰山, 等. 中国电网自然灾害防御技术现状调查与分析[J]. 电力系统自动化, 2010, 34(23):5-10
WANG Haowu, LUO Jianyu, XU Taishan, et al. Questionnaire survey and analysis of natural disaster defense techniques of power grids in china[J]. Automation of Electric Power Systems, 2010, 34(23):5-10
[4] 薛禹胜, 费圣英, 卜凡强. 极端外部灾害中的停电防御系统构思[J]. 电力系统自动化, 2008, 32(9):1−6; 2008, 32(10):1−5.
XUE Yusheng, FEI Shengying, BU Fanqiang. Upgrading the blackout defense scheme against extreme disasters[J]. Automation of Electnc Power Systems, 2008, 32(9):1−6; 2008, 32(10):1−5.
[5] 侯慧, 耿浩, 肖祥, 等. 基于节点综合权值的电力应急物资调度模型研究[J]. 电力系统保护与控制, 2019, 47(8):165-172
HOU Hui, GENG Hao, XIAO Xiang, et al. Research on dispatching model of electric emergency materials based on comprehensive weight of nodes[J]. Power System Protection and Control, 2019, 47(8):165-172
[6] 王迪, 蔡东军, 房鑫炎, 等. 动态综合评价方法在电网应急能力评估中的应用[J]. 电力系统保护与控制, 2019, 47(16):101-107
WANG Di, CAI Dongjun, FANG Xinyan, et al. Application of dynamic comprehensive evaluation method in power system emergency management capability assessment[J]. Power System Protection and Control, 2019, 47(16):101-107
[7] 高兆丽, 胥明凯, 丁素英, 等. 基于改进人工蜂群算法的配电网多点故障应急抢修优化调度[J]. 电力系统保护与控制, 2019, 47(13):107-114
GAO Zhaoli, XU Mingkai, DING Suying, et al. Optimization scheduling of multi-fault rush repair for distribution networks based on modified artificial bee colony algorithm[J]. Power System Protection and Control, 2019, 47(13):107-114
[8] PANTELI M, TRAKAS D N, MANCARELLA P, et al. Power systems resilience assessment:hardening and smart operational enhancement strategies[J]. Proceedings of the IEEE, 2017, 105(7):1202-1213.
[9] 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.
[10] GAO H X, CHEN Y, MEI S W, et al. Resilience-oriented pre-hurricane resource allocation in distribution systems considering electric buses[J]. Proceedings of the IEEE, 2017, 105(7):1214-1233.
[11] SALMERON J, WOOD K, BALDICK R. Analysis of electric grid security under terrorist threat[J]. IEEE Transactions on Power Systems, 2004, 19(2):905-912.
[12] SALMERON J, WOOD K, BALDICK R. Worst-case interdiction analysis of large-scale electric power grids[J]. IEEE Transactions on Power Systems, 2009, 24(1):96-104.
[13] MOTTO A L, ARROYO J M, GALIANA F D. A mixed-integer LP procedure for the analysis of electric grid security under disruptive threat[J]. IEEE Transactions on Power Systems, 2005, 20(3):1357-1365.
[14] YUAN W, ZHAO L, ZENG B. Optimal power grid protection through a defender-attacker-defender model[J]. Reliability Engineering & System Safety, 2014, 121:83-89.
[15] BROWN G G, CARLYLE W M, SALMERÓN J, et al. Defending critical infrastructure[J]. Interfaces, 2006, 36(6):530-544.
[16] BROWN G G, CARLYLE W M, SALMERÓN J, et al. Analyzing the vulnerability of critical infrastructure to attack and planning defenses[J]. INFORMS, 2005, 1:102-123.
[17] ALGUACIL N, DELGADILLO A, ARROYO J M. A trilevel programming approach for electric grid defense planning[J]. Computers & Operations Research, 2014, 41:282-290.
[18] ZHEN Ni, SHUVA Paul. A multistage game in smart grid security:a reinforcement learning solution[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(9):2684-2695.
[19] WEI Longfei, SARWAT A I, SAAD W, et al. Stochastic games for power grid protection against coordinated cyber-physical attacks[J]. IEEE Transactions on Smart Grid, 2018, 9(2):684-694.
[20] MA C Y T, YAU D K Y, LOU X, et al. Markov game analysis for attack-defense of power networks under possible misinformation[J]. IEEE Transactions on Power Systems, 2013, 28(2):1676-1686.
[21] 赵地, 刘莹, 邓仰东. 强化学习[M]. 北京:机械工业出版社, 2018.
[22] 霍华德 M. 施瓦兹. 多智能体机器学习:强化学习方法[M]. 北京:机械工业出版社, 2017.
[23] DELGADILLO A, ARROYO J M, ALGUACIL N. Analysis of electric grid interdiction with line switching[J]. IEEE Transactions on Power Systems, 2010, 25(2):633-641.
[24] ZHAO Long, ZENG B. Vulnerability analysis of power grids with line switching[J]. IEEE Transactions on Power Systems, 2013, 28(3):2727-2736.
[25] MORRIS P. Introduction to game theory[M]. New York Springer-Verlag, 1994.
[26] LITTMAN M L. Markov games as a framework for multi-agent reinforcement learning[J]. Machine Learning Proceedings, 1994, 10(13):157-163.
[27] ZENG Bo, ZHAO Long. Solving two-stage robust optimization problems using a column-and-constraint generation method[J]. Operations Research Letters, 2013, 41(5):457-461.
[28] WU Xuan, CONEJO A J. An efficient tri-level optimization model for electric grid defense planning[J]. IEEE Transactions on Power Systems, 2017, 32(4):2984-2994.
[29] 刘克, 曹平. 马尔可夫决策过程理论与应用[M]. 北京:科学出版社, 2015.

考虑灾害事件攻防顺序的电网防灾资源分配策略

A Resource Allocation Strategy for Power Grid Disaster Prevention Considering the Attack and Defense Sequence of Disaster Events

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