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

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI:10.17775/CSEEJPES.2022.04440
Baozhong Ti;Chuanyun Zhang;Jingfei Liu;Zhaoyuan Wu;Ziyang Huang
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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-∊ 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.
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考虑维护计划的输电系统网络-物理协同恢复策略
为了提高输电系统应对通信侧和电源侧复合故障的能力,提出了一种网络-物理协同修复策略。首先,根据信息系统在故障诊断、设备维护远程控制和发电机恢复自动输出调整中的作用,提出了网络-物理耦合模型。在此基础上,通过研究维护计划路径、信息系统运行和电力系统运行之间的相互作用,建立了输电系统的协同修复模型。基于功率流线性化和大 M-∊ 方法,将上述模型转化为混合整数线性规划模型,并通过聚类算法进一步减轻其计算负担。根据 IEEE39 新英格兰系统的参数,建立了网络物理系统的地理布线图。仿真结果表明,所提出的恢复策略能综合考虑信息系统的支持功能和两侧设备维护的时空协调,加快负荷恢复进度。
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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