Lu Ming, Guo Zhimin, Meng Gaojun, Yuan Sikun, Li Yun, Lu Yang
{"title":"Research on Refinement Modeling of Transmission Lines' Meteorological Risks and Online Early Warning and Defense Strategy of Meteorological Disasters","authors":"Lu Ming, Guo Zhimin, Meng Gaojun, Yuan Sikun, Li Yun, Lu Yang","doi":"10.1109/ICPET55165.2022.9918236","DOIUrl":null,"url":null,"abstract":"Meteorological factors should be taken into account in risk assessment as it plays a vital role in the stable operation of transmission lines. On this basis, a method for early warning and protection of meteorological risk for transmission lines is proposed. Meticulous modeling of meteorological risk is carried out considering space-time power generation prediction, equipment health and reliability assessment and probabilistic load forecasting, and a novel risk measurement standard is proposed based on meteorological hazard, power grid vulnerability and post-disaster recovery cost. In addition, a research on online early warning and defense strategies for meteorological disasters is proposed for load interruption recovery and alleviation of electricity congestion. Finally, the proposed method is tested and analyzed in simulation, and the effectiveness of the method is further verified.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Power and Energy Technology (ICPET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPET55165.2022.9918236","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
Meteorological factors should be taken into account in risk assessment as it plays a vital role in the stable operation of transmission lines. On this basis, a method for early warning and protection of meteorological risk for transmission lines is proposed. Meticulous modeling of meteorological risk is carried out considering space-time power generation prediction, equipment health and reliability assessment and probabilistic load forecasting, and a novel risk measurement standard is proposed based on meteorological hazard, power grid vulnerability and post-disaster recovery cost. In addition, a research on online early warning and defense strategies for meteorological disasters is proposed for load interruption recovery and alleviation of electricity congestion. Finally, the proposed method is tested and analyzed in simulation, and the effectiveness of the method is further verified.