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

[2] College of Electrical and Information Engineering, Hunan University, Changsha

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：

cyber-physical coupling system; distribution network; fault coordination recovery; network reconstruction; uncertainty;

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

页码：106 / 113

页数：7

共 19 条

[1] WU Gongyu, Failure modeling and toughness optimization of power cyber-physical systems cascade［D］, (2021)
[2] CHEN Yang, Research on risk assessment and control of Wenzhou Power Grid considering extreme weather［D］, (2022)
[3] DU Shijia, GUO Chuangxin, YU Xiaoling, Et al., Review and prospect of resilient distribution network under typhoon disaster［J］, Electric Power Automation Equipment, 42, 2, pp. 176-186, (2022)
[4] Chen YU, LI Shangxuan, XIE Yunyun, Et al., Optimization of post-typhoon rush repair strategy for distribution network considering information integration of traffic network and distribution network［J］, Automation of Electric Power Systems, 46, 4, pp. 15-24, (2022)
[5] ZHANG Xiaohui, PAN Yongchao, ZHANG Lu, Et al., Distribution network fault recovery method considering balance of interests between integrated energy aggregators and power distribution company［J］, Electric Power Automation Equipment, 43, 3, pp. 38-45, (2023)
[6] LIU Fei, LIN Chaofan, CHEN Chen, Et al., Post-disaster time-series load restoration method for distribution network considering dynamic uncertainty of distributed renewable energy ［J］, Electric Power Automation Equipment, 42, 7, pp. 159-167, (2022)
[7] The multiple traveling salesman problem in presence of drone- and robot-supported packet stations［J］, European Journal of Operational Research, 305, 2, pp. 630-643, (2023)
[8] Zhaohong BIE, Yanling LIN, Gengfeng LI, Et al., Battling the extreme：a study on the power system resilience［J］, Proceedings of the IEEE, 105, 7, pp. 1253-1266, (2017)
[9] CHEN Bin, YU Jilai, Research on resilience assessment and improvement measures of distribution network considering the influence of communication system［J］, Power System Technology, 43, 7, pp. 2314-2320, (2019)
[10] NGUYEN H X，, Et al., A Stackelberg-game approach for disaster-recovery communications utilizing cooperative D2D［J］, IEEE Access, 6, pp. 10733-10742, (2018)

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