Collaborative Fault Recovery and Network Reconstruction Method for Cyber-physical-systems Based on Double Layer Optimization

Wanxing Sheng; Keyan Liu; Zhao Li; Xueshun Ye

doi:10.17775/CSEEJPES.2022.00040

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Collaborative Fault Recovery and Network Reconstruction Method for Cyber-physical-systems Based on Double Layer Optimization

Special Section Papers | 更新时间：2026-10-15

- Collaborative Fault Recovery and Network Reconstruction Method for Cyber-physical-systems Based on Double Layer Optimization
- CSEE Journal of Power and Energy Systems Vol. 9, Issue 1, Pages: 380-392(2023)
- 作者机构：
  
  China Electric Power Research Institute,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.00040
  CLC：
- Published：01 January 2023
- 稿件说明：
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Wanxing Sheng, Keyan Liu, Zhao Li, et al. Collaborative Fault Recovery and Network Reconstruction Method for Cyber-physical-systems Based on Double Layer Optimization[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 380-392.
DOI：

Wanxing Sheng, Keyan Liu, Zhao Li, et al. Collaborative Fault Recovery and Network Reconstruction Method for Cyber-physical-systems Based on Double Layer Optimization[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 380-392. DOI： 10.17775/CSEEJPES.2022.00040.

摘要

Abstract

For fault characteristics of cyber-physical-systems (CPS) based distribution network

a spatiotemporal incidence matrix to represent correlation of concurrent faults on cyberspace and physical space is proposed

and strategies of fault location

removal

and recovery of concurrent faults are analyzed in this paper. Considering the multiple objectives of minimum network loss

voltage deviation

and switching operation times

a collaborative power supply restoration model of a CPS-based distribution network with the strategy that restoration of the communication layer is prior to the physical layer is constructed using the Dijkstra's dynamic routing algorithm and second-order cone relaxation distribution network reconfiguration method

to realize orderly recovery of a distribution network during CPS concurrent faults. Related investigations are made based on the DCPS-160 case

and the accuracy and effectiveness of the proposed model are also verified.

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Related Institution

School of Automation Science and Electrical Engineering, Beihang University

Shenzhen Institute of Beihang University

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Department of Electrical and Electronic Engineering, School of Engineering, Cardiff University, Cardiff, U.K

Department of Electrical Engineering, Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University

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