Xiaolei Cheng, W. Cai, Yuan Wang, Peng Wang, Jingli Zhang, Shuran Liu
{"title":"考虑可再生出力波动和动态线路额定值的时序仿真方法","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":"{\"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}","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}
Time-Sequential Simulation Method Considering Renewable Output Fluctuation and Dynamic Line Rating
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.