Xiaolei Cheng, W. Cai, Yuan Wang, Peng Wang, Jingli Zhang, Shuran Liu
{"title":"Time-Sequential Simulation Method Considering Renewable Output Fluctuation and Dynamic Line Rating","authors":"Xiaolei Cheng, W. Cai, Yuan Wang, Peng Wang, Jingli Zhang, Shuran Liu","doi":"10.1109/CEEPE55110.2022.9783271","DOIUrl":null,"url":null,"abstract":"The increasing penetration rate of intermittent renewable energies imposes the great randomness to power grid planning and operation, which requires time-sequential planning methods to consider the time-series behavior of wind output, as well as network flexibility methods to increase the resilience of rich-renewable network. Traditional static line rating method neglect the high correlation effect between dynamic rating of overhead lines and wind power output. This paper introduces a time-sequential simulation method that considering renewable output fluctuation and line dynamic line rating to assist in determining the power system planning scheme. The methodology is applied on a IEEE RTS-96 24-bus network to evaluate the impact of dynamic line rating for integrating wind power generation. The case study results indicate a significant improvement in wind power penetration with the installation of dynamic line rating.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783271","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
The increasing penetration rate of intermittent renewable energies imposes the great randomness to power grid planning and operation, which requires time-sequential planning methods to consider the time-series behavior of wind output, as well as network flexibility methods to increase the resilience of rich-renewable network. Traditional static line rating method neglect the high correlation effect between dynamic rating of overhead lines and wind power output. This paper introduces a time-sequential simulation method that considering renewable output fluctuation and line dynamic line rating to assist in determining the power system planning scheme. The methodology is applied on a IEEE RTS-96 24-bus network to evaluate the impact of dynamic line rating for integrating wind power generation. The case study results indicate a significant improvement in wind power penetration with the installation of dynamic line rating.