Coordinated recovery method of post-disaster distribution network cyber-physical system considering network reconstruction and emergency resources

被引：0
|
作者：
Dong, Guicen [1 ]
He, Chuan [1 ]
Liu, Xuan [2 ]
Nan, Lu [1 ]
Liu, Tianqi [1 ]
Zhang, Yuqi [1 ]
机构：
[1] College of Electrical Engineering, Sichuan University, Chengdu,610065, China
[2] College of Electrical and Information Engineering, Hunan University, Changsha,410082, China
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Cutting tools;
D O I：
10.16081/j.epae.202405001
中图分类号：
学科分类号：
摘要：
In recent years，the frequent occurrence of extreme weather disasters has seriously affected the cyber-physical system of distribution network. Therefore，the coordinated recovery of distribution network and information network after disaster is of great importance. In order to reduce the loss of post-disaster system，a multi-source coordinated recovery method for distribution network cyber-physical system with the goal of minimizing the system loss cost. A post-disaster coordinated system recovery model is established based on the coupling of distribution network and information network，and then measures such as distributed generator set，energy storage equipment，network reconstruction and mobile emergency resources are taken into account to accelerate load recovery. On this basis，considering the uncertainty of new energy output，a multi-source coordinated recovery method for distribution network cyber-physical system after disaster based on information gap decision theory is proposed. The simulation of IEEE 33-bus distribution network and 21-node information network is carried out to verify the effectiveness of the proposed method. © 2024 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码：106 / 113
相关论文
共 50 条
  • [31] Preventive allocation and post-disaster cooperative dispatch of emergency mobile resources for improved distribution system resilience*
    Shi, Qingxin
    Wan, Haiyang
    Liu, Wenxia
    Han, Haiteng
    Wang, Zhuorong
    Li, Fangxing
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 152
  • [32] A Control Approach for Cooperative Sharing of Network Resources in Cyber-Physical Systems
    Rosenthal, Florian
    Hanebeck, Uwe D.
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019), 2019, : 361 - 367
  • [33] Co-simulation for Cyber-Physical Distribution Network Under Cyber Attacks
    Zhang, W. H.
    Qian, T.
    Lin, X.
    Tang, W. H.
    Wu, Q. H.
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2996 - 3002
  • [34] Post-disaster time-series load restoration method for distribution network considering dynamic uncertainty of distributed renewable energy
    Liu F.
    Lin C.
    Chen C.
    Liu R.
    Li G.
    Bie Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (07): : 159 - 167
  • [35] Impact of cyber-physical system vulnerability, telecontrol system availability and islanding on distribution network reliability
    Conti, S.
    La Corte, A.
    Nicolosi, R.
    Rizzo, S. A.
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2016, 6 : 143 - 151
  • [36] Vulnerability Assessment for Cyber-Physical System of Distribution Network in Distributed Cooperative Control Mode
    Li P.
    Liu Y.
    Xin H.
    Qi D.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2018, 42 (10): : 22 - 29and59
  • [37] Resilience Improvement Method for Post-disaster Distribution Network Based on Proximal Policy Optimization Algorithm
    Wang Z.
    Wang X.
    Jiang C.
    Gong K.
    Bai B.
    Deng H.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (21): : 62 - 70
  • [38] Research on Relay Selection and Trajectory Optimization in Post-disaster Emergency Communication Network
    Chen H.
    Gao F.
    He M.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2023, 45 (10): : 3648 - 3656
  • [39] Risk Analysis of Cyber Physical Distribution Network Operation Considering Cyber Attack
    An Y.
    Liu D.
    Chen F.
    Xu W.
    Dianwang Jishu/Power System Technology, 2019, 43 (07): : 2345 - 2352
  • [40] Evidential Network Modeling for Cyber-Physical System State Inference
    Friedberg, Ivo
    Hong, Xin
    Mclaughlin, Kieran
    Smith, Paul
    Miller, Paul C.
    IEEE ACCESS, 2017, 5 : 17149 - 17164
12345