Optimization Decision-Making Method for Distribution Network Restoration Considering the Interdependency of Critical Infrastructure on Load Side

doi:10.3969/j.issn.1000-7229.2019.12.005

Abstract

Abstract: After a blackout caused by an extreme event， the local power sources in the distribution network can be used for service restoration to critical infrastructure loads to quickly restore some or all functions of critical infrastructure. However， the infrastructure interdependency is complicated and difficult to model. When making decisions on restoration strategy for critical loads， insufficient consideration of the infrastructure interdependency may result in the abnormal operation of infrastructures even if the power service is restored. To tackle the issue， this paper firstly explores the interdependency of critical infrastructures and establishes the interdependency models that can be analytically expressed. Considering the interdependency models， a mixed integer second-order cone program (MISOCP) for restoration decision-making is proposed to maximize the critical infrastructure functions and restored loads. The MISOCP model can be solved efficiently by off-the-shelf optimization solvers. Finally， the proposed decision-making method is demonstrated on a test case and the effectiveness of the proposed method is validated.

Key words: distribution network restoration, critical infrastructure interdependency, resilience

CLC Number:

TM 73

GAO Tianle，LI Jiaxu，WANG Ying，XU Yin. Optimization Decision-Making Method for Distribution Network Restoration Considering the Interdependency of Critical Infrastructure on Load Side[J]. Electric Power Construction, 2019, 40(12): 38-44.

References

［1］WANG Y Z， CHEN C， WANG J H， et al. Research on resilience of power systems under natural disasters: A review［J］. IEEE Transactions on Power Systems， 2016， 31(2): 1604-1613.
［2］高海翔，陈颖，黄少伟，等. 配电网韧性及其相关研究进展［J］. 电力系统自动化， 2015， 39(23): 1-8.
GAO Haixiang， CHEN Ying， HUANG Shaowei， et al. Distribution systems resilience: an overview of research progress［J］. Automation of Electric Power Systems， 2015， 39(23): 1-8.
［3］PANTELI M， TRAKAS D N， MANCARELLA P， et al. Boosting the power grid resilience to extreme weather events using defensive islanding［J］. IEEE Transactions on Smart Grid， 2016， 7(6): 2913-2922.
［4］TON D T， WANG W T P. A more resilient grid: The US department of energy joins with stakeholders in an R&D plan［J］. IEEE Power and Energy Magazine， 2015， 13(3): 26-34.
［5］洪小雨. 主动配电网故障恢复重构研究［D］. 北京: 北京交通大学， 2014.
HONG Xiaoyu. Service restoration of active distribution network［D］. Beijing: Beijing Jiaotong University， 2014.
［6］TAYLOR J A， HOVER F S. Convex models of distribution system reconfiguration［J］. IEEE Transactions on Power Systems， 2012， 27(3): 1407-1413.
［7］吴文仙，韩冬，孙伟卿，等. 考虑韧性增强策略的配电网负荷恢复优化［J］. 电力科学与工程， 2019， 35(4): 17-24.
WU Wenxian， HAN Dong， SUN Weiqing， et al. Load restoration optimization of distribution systems considering resilience enhancement strategy［J］. Electric Power Science and Engineering， 2019， 35(4): 17-24.
［8］XU Y， LIU C， SCHNEIDER K P， et al. Microgrids for service restoration to critical load in a resilient distribution system［J］. IEEE Transactions on Smart Grid， 2018， 9(1): 426-437.
［9］LI J， MA X Y， LIU C， et al. Distribution system restoration with microgrids using spanning tree search［J］. IEEE Transactions on Power Systems， 2014， 29(6): 3021-3029.
［10］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.
［11］CHEN C， WANG J H， QIU F， et al. Resilient distribution system by microgrids formation after natural disasters［J］. IEEE Transactions on Smart Grid， 2016， 7(2): 958-966.
［12］邸丽清，谢丰. 工业控制系统信息安全与功能安全结合之探讨［J］. 中国信息安全， 2016(4): 62-65.
［13］SOKOLOWSKI J， TURNITSA C， DIALLO S. A conceptual modeling method for critical infrastructure modeling［C］// IEEE 2008 41st Annual Simulation Symposium ANSS.Ottawa:IEEE，2008.
［14］OLIVA G， SETOLA R. Intelligent monitoring， control， and security of critical infrastructure systems［M］.Berlin， Heidelberg: Springer Berlin Heidelberg， 2014: 239-261.
［15］WEI W， MEI S W， WU L， et al. Robust operation of distribution networks coupled with urban transportation infrastructures［J］. IEEE Transactions on Power Systems， 2017， 32(3): 2118-2130.
［16］TIAN Y M， FU G Y， CHI H Y， et al. Optimal operation of water distribution networks under local pipe failures［J］. Journal of Central South University of Technology， 2007， 14(3): 436-441.
［17］MARTI J R， HOLLMAN J A， VENTURA C， et al. Dynamic recovery of critical infrastructures: real-time temporal coordination［J］. International Journal of Critical Infrastructures， 2008， 4(1-2): 17.
［18］赵旭东，陈志龙，龚华栋，等. 关键基础设施体系灾害毁伤恢复力研究综述［J］. 土木工程学报， 2017， 50(12): 62-71.
ZHAO Xudong， CHEN Zhilong， GONG Huadong， et al. Review on the study of disaster resilience of critical infrastructure systems［J］. China Civil Engineering Journal， 2017， 50(12): 62-71.
［19］GE Y Y， DU L L， YE H X. Co-optimization approach to post-storm recovery for interdependent power and transportation systems［J］. Journal of Modern Power Systems and Clean Energy， 2019， 7(4): 688-695.
［20］ALMOGHATHAWI Y， BARKER K， ALBERT L A. Resilience-driven restoration model for interdependent infrastructure networks［J］. Reliability Engineering & System Safety， 2019， 185: 12-23.
［21］SHARKEY T C， CAVDAROGLU B， NGUYEN H， et al. Interdependent network restoration: On the value of information-sharing［J］. European Journal of Operational Research， 2015， 244(1): 309-321.
［22］RONG L L， YAN K S， ZHANG J W. Optimum post-disruption restoration plan of interdependent critical infrastructures［C］//2018 IEEE International Conference on Software Quality， Reliability and Security Companion (QRS-C). New York， USA: IEEE， 2018.
［23］AHMADI H， ALSUBAIE A， MARTI J R. Distribution system restoration considering critical infrastructures interdependencies［C］//2014 IEEE PES General Meeting. New York， USA: IEEE， 2014.
［24］SINGH M K. Optimal operation of water and power distribution networks［D］. Blacksburg：Virginia Polytechnic Institute and State University，2018.
［25］GAN L， LI N， TOPCU U， et al. Exact convex relaxation of optimal power flow in tree networks［J］. IEEE Transactions on Automatic Control， 2013， 41(1):351-352.
［26］MOSEK.MOSEK fusion API for Matlab 8.1.0.31.［EB/OL］. ［2019-06-02］.http://docs.mosek.com/8.1/matlabfusion/index.html.
［27］WANG Y， XU Y， HE J H. Using multiple DGs for distribution system service restoration after extreme events［C］//2018 IEEE Power & Energy Society General Meeting (PESGM).New York， USA: IEEE， 2018.

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