{"title":"多类型可再生能源不确定波动下的长期扩产规划","authors":"Wu Shengyu, Cheng Lu, Yan Xiaoqing, Y. Bo","doi":"10.1109/POWERENG.2015.7266387","DOIUrl":null,"url":null,"abstract":"This paper introduces a generation expansion planning model for a system integrated with multi-type renewables, specifically wind and PV, covering their joint uncertainty and fluctuation characteristics. Statistical Residual Load Duration Curve (S-RLDC) is proposed to deal with the uncertainty characteristic, in which the technique of convolution in separate time domain is adopted. Wavelet decomposition is applied to reveal the fluctuation amplitude of renewables, and further to determine the flexible capacity requirement for mitigating this fluctuation. As a case study, an actual district in the northwestern part of China is employed.","PeriodicalId":334135,"journal":{"name":"2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Long-term generation expansion planning under uncertainties and fluctuations of multi-type renewables\",\"authors\":\"Wu Shengyu, Cheng Lu, Yan Xiaoqing, Y. Bo\",\"doi\":\"10.1109/POWERENG.2015.7266387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a generation expansion planning model for a system integrated with multi-type renewables, specifically wind and PV, covering their joint uncertainty and fluctuation characteristics. Statistical Residual Load Duration Curve (S-RLDC) is proposed to deal with the uncertainty characteristic, in which the technique of convolution in separate time domain is adopted. Wavelet decomposition is applied to reveal the fluctuation amplitude of renewables, and further to determine the flexible capacity requirement for mitigating this fluctuation. As a case study, an actual district in the northwestern part of China is employed.\",\"PeriodicalId\":334135,\"journal\":{\"name\":\"2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/POWERENG.2015.7266387\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERENG.2015.7266387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Long-term generation expansion planning under uncertainties and fluctuations of multi-type renewables
This paper introduces a generation expansion planning model for a system integrated with multi-type renewables, specifically wind and PV, covering their joint uncertainty and fluctuation characteristics. Statistical Residual Load Duration Curve (S-RLDC) is proposed to deal with the uncertainty characteristic, in which the technique of convolution in separate time domain is adopted. Wavelet decomposition is applied to reveal the fluctuation amplitude of renewables, and further to determine the flexible capacity requirement for mitigating this fluctuation. As a case study, an actual district in the northwestern part of China is employed.