{"title":"层次控制结构下考虑风电不确定性的多区域系统多时间尺度联络线能量储备分配模型","authors":"Linyu Wang, Haiyan Jiang, Yibo Jiang","doi":"10.1109/ICESIT53460.2021.9696753","DOIUrl":null,"url":null,"abstract":"Increasing proportion of centralized wind power integrated into partial areas of China leads to requirement in sharing both energy and reserve among areas under its inherent hierarchical control structure, and the unbalance power introduced by wind power uncertainty lead to requirement of correction from day ahead to intra-day along with the improvement of wind power prediction precision. In order to address these problems, this paper develops an information integration method integrating complicated relations among fuel cost, total thermal power output, reserve capacity, owned reserve and expectations of loading shedding and wind curtailment within this area into three types of time-related relation curves in different time scale. Furthermore, a multi-time scale tie-line energy and reserve allocation model is proposed, which contains two levels in control structure, two time scales in dispatch sequence and multiple areas integrated with wind farms. The efficiency of the proposed method is tested in 9-bus test system and IEEE 118-bus system. The results show that cross-regional control centre is able to allocate both energy and reserve among areas efficiently with the integrated relation curves. The proposed model not only relieves energy and reserve shortage in partial areas but also allocates them to more urgent areas in a high effectivity manner in both day-ahead and intraday time scale.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multi-time Scale Tie-line Energy and Reserve Allocation Model Considering Wind Power Uncertainty for Multi-area System in Hierarchical Control Structure\",\"authors\":\"Linyu Wang, Haiyan Jiang, Yibo Jiang\",\"doi\":\"10.1109/ICESIT53460.2021.9696753\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasing proportion of centralized wind power integrated into partial areas of China leads to requirement in sharing both energy and reserve among areas under its inherent hierarchical control structure, and the unbalance power introduced by wind power uncertainty lead to requirement of correction from day ahead to intra-day along with the improvement of wind power prediction precision. In order to address these problems, this paper develops an information integration method integrating complicated relations among fuel cost, total thermal power output, reserve capacity, owned reserve and expectations of loading shedding and wind curtailment within this area into three types of time-related relation curves in different time scale. Furthermore, a multi-time scale tie-line energy and reserve allocation model is proposed, which contains two levels in control structure, two time scales in dispatch sequence and multiple areas integrated with wind farms. The efficiency of the proposed method is tested in 9-bus test system and IEEE 118-bus system. The results show that cross-regional control centre is able to allocate both energy and reserve among areas efficiently with the integrated relation curves. The proposed model not only relieves energy and reserve shortage in partial areas but also allocates them to more urgent areas in a high effectivity manner in both day-ahead and intraday time scale.\",\"PeriodicalId\":164745,\"journal\":{\"name\":\"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESIT53460.2021.9696753\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESIT53460.2021.9696753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-time Scale Tie-line Energy and Reserve Allocation Model Considering Wind Power Uncertainty for Multi-area System in Hierarchical Control Structure
Increasing proportion of centralized wind power integrated into partial areas of China leads to requirement in sharing both energy and reserve among areas under its inherent hierarchical control structure, and the unbalance power introduced by wind power uncertainty lead to requirement of correction from day ahead to intra-day along with the improvement of wind power prediction precision. In order to address these problems, this paper develops an information integration method integrating complicated relations among fuel cost, total thermal power output, reserve capacity, owned reserve and expectations of loading shedding and wind curtailment within this area into three types of time-related relation curves in different time scale. Furthermore, a multi-time scale tie-line energy and reserve allocation model is proposed, which contains two levels in control structure, two time scales in dispatch sequence and multiple areas integrated with wind farms. The efficiency of the proposed method is tested in 9-bus test system and IEEE 118-bus system. The results show that cross-regional control centre is able to allocate both energy and reserve among areas efficiently with the integrated relation curves. The proposed model not only relieves energy and reserve shortage in partial areas but also allocates them to more urgent areas in a high effectivity manner in both day-ahead and intraday time scale.