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Special Section Paper | Open Access

Cyber-physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling

Baozhong Ti1( ), Chuanyun Zhang1, Jingfei Liu2, Zhaoyuan Wu3, Ziyang Huang3
North China Branch of State Grid Corporation of China, Beijing 100053, China
State Grid Beijing Electric Power Company, Beijing 100031, China
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Abstract

In order to improve the ability of power transmission system to cope with compound faults on the communication side and power side, a cyber-physical collaborative restoration strategy is proposed. First, according to the information system’s role in fault diagnosis, remote control of equipment maintenance and automatic output adjustment of generator restoration, a cyber-physical coupling model is proposed. On this basis, a collaborative restoration model of power transmission system is established by studying interactions among maintenance schedule paths, information system operation, and power system operation. Based on power flow linearization and the large M-ε method, the above model is transformed into a mixed integer linear programming model, whose computational burden is reduced further by the clustering algorithm. According to the parameters of IEEE39 New England system, the geographic wiring diagram of the cyber-physical system is established. Simulation results show the proposed restoration strategy can consider the support function of the information system and space-time coordination of equipment maintenance at both sides comprehensively to speed up load recovery progress.

Keywords

Clustering methodcollaborative restorationcyber-physical power systemmaintenance schedulingpower transmission system restoration

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CSEE Journal of Power and Energy Systems
Volume 10 Issue 3,
May 2024
Pages 1331-1341
DOI: 10.17775/CSEEJPES.2022.04440
Cite this article:
Ti B, Zhang C, Liu J, et al. Cyber-physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1331-1341. https://doi.org/10.17775/CSEEJPES.2022.04440

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Received: 04 July 2022
Revised: 31 August 2022
Accepted: 23 September 2022
Published: 27 June 2023
© 2022 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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