Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling
Special Section Papers|更新时间:2026-10-15
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Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling
CSEE Journal of Power and Energy SystemsVol. 10, Issue 3, Pages: 1331-1341(2024)
作者机构:
1. North China Branch of State Grid Corporation of China,Beijing,China
2. State Grid Beijing Electric Power Company,Beijing,China,102200
3. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University,Beijing,China
Baozhong Ti, Chuanyun Zhang, Jingfei Liu, et al. Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1331-1341.
DOI:
Baozhong Ti, Chuanyun Zhang, Jingfei Liu, et al. Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1331-1341.DOI: 10.17775/CSEEJPES.2022.04440.
Cyber-Physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling
摘要
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-∊ 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.