Baosheng Chen, Zelong Zhang, Caijuan Qi, Zhao Yang, Qiang Ji
{"title":"Optimal Operation of Novel Power System Considering High Proportion of New Energy Uncertainty","authors":"Baosheng Chen, Zelong Zhang, Caijuan Qi, Zhao Yang, Qiang Ji","doi":"10.1109/ICPEA56363.2022.10052553","DOIUrl":null,"url":null,"abstract":"As the significant of new energy penetration increases, its inherent uncertainty, volatility and anti peak shaving seriously have an impact on the safe and stable operation of power system. The scenario based stochastic optimization method is used to simulate the randomness of wind, solar output and load demand, and the synchronous iteration method is adopted to reduce quantities of scenarios generated by Monte Carlo simulation sampling, taking into account the speed of solution and the accuracy of results. Case studies validate the impact of uncertainty on system security, stability and operating costs.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"126 35","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Power and Energy Applications (ICPEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEA56363.2022.10052553","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
As the significant of new energy penetration increases, its inherent uncertainty, volatility and anti peak shaving seriously have an impact on the safe and stable operation of power system. The scenario based stochastic optimization method is used to simulate the randomness of wind, solar output and load demand, and the synchronous iteration method is adopted to reduce quantities of scenarios generated by Monte Carlo simulation sampling, taking into account the speed of solution and the accuracy of results. Case studies validate the impact of uncertainty on system security, stability and operating costs.