Zhao Ming, Dai Yuchen, Zhou Rui, Sun Zelun, Zhang Jiabin
{"title":"Design of Emergency Control Decision System for New Power System with Strong Uncertainty","authors":"Zhao Ming, Dai Yuchen, Zhou Rui, Sun Zelun, Zhang Jiabin","doi":"10.1109/ICPES56491.2022.10072660","DOIUrl":null,"url":null,"abstract":"Security and stability control system is the second-defense-line to maintain the safe and stable operation of power system. Aiming at the problem of control strategy failure and mismatch in security and stability control system under strong uncertainty, a new emergency control decision system architecture is proposed to adapt to the strong uncertainty of power system. The system adopts a parallel interactive architecture composed of data processing and interaction subsystem, safety and stability simulation calculation subsystem and emergency control strategy optimization subsystem, dynamically adjusts the margin control target value so that the system can adapt to the rapid changes of power grid mode and control measures, and quickly evaluates the adaptability risk of emergency control on duty strategy to deal with AC and DC cascading faults. Based on the convex and concave coefficients of the safety and stability margin control target value, the emergency control strategy is sliced and verified by simulation, so as to realize the rapid optimization of the emergency control strategy coupled with multiple types of safety and stability problems. The application case of the actual power grid verifies the effectiveness of the system, and can adapt to the uncertain changes of the power grid operation mode and control measures.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Power and Energy Systems (ICPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPES56491.2022.10072660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Security and stability control system is the second-defense-line to maintain the safe and stable operation of power system. Aiming at the problem of control strategy failure and mismatch in security and stability control system under strong uncertainty, a new emergency control decision system architecture is proposed to adapt to the strong uncertainty of power system. The system adopts a parallel interactive architecture composed of data processing and interaction subsystem, safety and stability simulation calculation subsystem and emergency control strategy optimization subsystem, dynamically adjusts the margin control target value so that the system can adapt to the rapid changes of power grid mode and control measures, and quickly evaluates the adaptability risk of emergency control on duty strategy to deal with AC and DC cascading faults. Based on the convex and concave coefficients of the safety and stability margin control target value, the emergency control strategy is sliced and verified by simulation, so as to realize the rapid optimization of the emergency control strategy coupled with multiple types of safety and stability problems. The application case of the actual power grid verifies the effectiveness of the system, and can adapt to the uncertain changes of the power grid operation mode and control measures.