Multi-agent-based Rolling Optimization Method for Restoration Scheduling of Distribution Systems with Distributed Generation

Journal of Modern Power Systems and Clean Energy

卷:8

Chen Fang¹  Xiaojin Zhao²  Usama Rahman²  Yun Zhou²  Donghan Feng²  Fan Wu² 

[1] Electric Power Research Institute, State Grid Shanghai Municipal Electric Power Company,Shanghai,China;

[2] Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China;

关键词: Electrical distribution system;    restoration scheduling;    multi-agent system;    rolling optimization;   

DOI  :  10.35833/MPCE.2018.000801

来源: DOAJ

【 摘 要 】

Resilience against major disasters is the most essential characteristic of future electrical distribution systems (EDSs). A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this paper. When a blackout occurs, considering the risk of losing the centralized authority due to the failure of the common core communication network, the available agents after disasters or cyber-attacks identify the communication-connected parts (CCPs) in the EDS with distributed communication. A multi-time interval optimization model is formulated and solved by the agents for the restoration scheduling of a CCP. A rolling optimization process for the entire EDS restoration is proposed. During the scheduling/rescheduling in the rolling process, CCPs in EDS are re-identified and the restoration schedules for CCPs are updated. Through decentralized decision-making and rolling optimization, EDS restoration scheduling can automatically start and periodically update itself, providing an effective solution for EDS restoration scheduling in a blackout event. A modified IEEE 123-bus EDS is utilized to demonstrate the effectiveness of the proposed method.

【 授权许可】

Unknown