Juan Chen, Bo Cheng, Zheng Zeng, Hongkun Chen, Yingxin Shen, Zilun Cheng
{"title":"Sensitivity Analysis of Influencing Factors for Renewable Energy Accommodation","authors":"Juan Chen, Bo Cheng, Zheng Zeng, Hongkun Chen, Yingxin Shen, Zilun Cheng","doi":"10.1109/ICPET55165.2022.9918199","DOIUrl":null,"url":null,"abstract":"Renewable energy has been growing rapidly inspired by the goal of \"emission peak and carbon neutrality\" in China. However, the phenomena of wind and solar power curtailment still exist, so the issue of renewable energy accommodation has attracted extensive attention. In this context, this paper proposes a sensitivity analysis method for the parameters of renewable energy accommodation, which comprehensively considers the load rate, the reserve rate, the conventional unit peak shaving rate, and the renewable energy penetration rate. Firstly, the mechanism of renewable energy accommodation is analyzed. Moreover, the mathematical model of the sensitivity of the accommodation capacity to each parameter is established, revealing the influence of each parameter on the sensitivity. Finally, the validity of the proposed method is verified by a case study using field data. The result shows that the proposed method can efficiently improve the capacity of renewable energy accommodation.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"94 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/ICPET55165.2022.9918199","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
Renewable energy has been growing rapidly inspired by the goal of "emission peak and carbon neutrality" in China. However, the phenomena of wind and solar power curtailment still exist, so the issue of renewable energy accommodation has attracted extensive attention. In this context, this paper proposes a sensitivity analysis method for the parameters of renewable energy accommodation, which comprehensively considers the load rate, the reserve rate, the conventional unit peak shaving rate, and the renewable energy penetration rate. Firstly, the mechanism of renewable energy accommodation is analyzed. Moreover, the mathematical model of the sensitivity of the accommodation capacity to each parameter is established, revealing the influence of each parameter on the sensitivity. Finally, the validity of the proposed method is verified by a case study using field data. The result shows that the proposed method can efficiently improve the capacity of renewable energy accommodation.