{"title":"考虑预测不确定性的新能源跨省日前-日内调度方法","authors":"Zhi Cai, Yuxuan Li, Dan Xu, Guofang Zhang, Lun Tang, Xiaming Guo","doi":"10.1109/AUTEEE50969.2020.9315598","DOIUrl":null,"url":null,"abstract":"There are generally large errors between forecast and actual values of new energy power in the dayahead stage, which may cause curtailment of wind power and photovoltaic power due to the insufficient reserve of provincial power grids in the intra-day stage. Therefore, multi-time scale multi-province coordinative day-ahead and intra-day scheduling model considering the uncertainty of new energy prediction is proposed in this paper: Considering the possible errors of new energy prediction in the day-ahead stage, a multi-provincial robust unit commitment model is established to provide sufficient reserves for new energy consumption; the tie-line scheduling and unit output in the intra-day stage according to ultra-short-term predicted data of new energy is adjusted to establish an intra-day scheduling model considering tie-line power flow control. The proposed model is applied to the actual calculation example in a certain region of China, the results of which show that the model can give play to the mutual aid of interconnected power grids and effectively improve the consumption level of new energy.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"3 1","pages":"67-72"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cross-provincial Day-ahead to Intra-day Scheduling Method Considering Forecasting Uncertainty of New Energy\",\"authors\":\"Zhi Cai, Yuxuan Li, Dan Xu, Guofang Zhang, Lun Tang, Xiaming Guo\",\"doi\":\"10.1109/AUTEEE50969.2020.9315598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are generally large errors between forecast and actual values of new energy power in the dayahead stage, which may cause curtailment of wind power and photovoltaic power due to the insufficient reserve of provincial power grids in the intra-day stage. Therefore, multi-time scale multi-province coordinative day-ahead and intra-day scheduling model considering the uncertainty of new energy prediction is proposed in this paper: Considering the possible errors of new energy prediction in the day-ahead stage, a multi-provincial robust unit commitment model is established to provide sufficient reserves for new energy consumption; the tie-line scheduling and unit output in the intra-day stage according to ultra-short-term predicted data of new energy is adjusted to establish an intra-day scheduling model considering tie-line power flow control. The proposed model is applied to the actual calculation example in a certain region of China, the results of which show that the model can give play to the mutual aid of interconnected power grids and effectively improve the consumption level of new energy.\",\"PeriodicalId\":6767,\"journal\":{\"name\":\"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)\",\"volume\":\"3 1\",\"pages\":\"67-72\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTEEE50969.2020.9315598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEEE50969.2020.9315598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cross-provincial Day-ahead to Intra-day Scheduling Method Considering Forecasting Uncertainty of New Energy
There are generally large errors between forecast and actual values of new energy power in the dayahead stage, which may cause curtailment of wind power and photovoltaic power due to the insufficient reserve of provincial power grids in the intra-day stage. Therefore, multi-time scale multi-province coordinative day-ahead and intra-day scheduling model considering the uncertainty of new energy prediction is proposed in this paper: Considering the possible errors of new energy prediction in the day-ahead stage, a multi-provincial robust unit commitment model is established to provide sufficient reserves for new energy consumption; the tie-line scheduling and unit output in the intra-day stage according to ultra-short-term predicted data of new energy is adjusted to establish an intra-day scheduling model considering tie-line power flow control. The proposed model is applied to the actual calculation example in a certain region of China, the results of which show that the model can give play to the mutual aid of interconnected power grids and effectively improve the consumption level of new energy.