Lin Song, Haotian Wu, D. Ke, Jian Xu, Jing-Jing Zheng, Zaixun Ling, Yibo Cui
{"title":"考虑热负荷不确定性的电热综合能源系统随机优化调度","authors":"Lin Song, Haotian Wu, D. Ke, Jian Xu, Jing-Jing Zheng, Zaixun Ling, Yibo Cui","doi":"10.1109/AEEES54426.2022.9759616","DOIUrl":null,"url":null,"abstract":"This paper is based on Cornish-Fisher series to predict solar irradiance in multiple scenarios, and establishes a day-ahead stochastic dispatch model of regional electric heating integrated energy system considering the uncertainty of thermal load. It is verified by simulation that the proposed method has higher accuracy in predicting heat load, can promote the consumption of renewable energy, and effectively reduce the energy cost of users.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic Optimal Dispatching of Electrothermal Integrated Energy System Considering Uncertainty of Heat Load\",\"authors\":\"Lin Song, Haotian Wu, D. Ke, Jian Xu, Jing-Jing Zheng, Zaixun Ling, Yibo Cui\",\"doi\":\"10.1109/AEEES54426.2022.9759616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is based on Cornish-Fisher series to predict solar irradiance in multiple scenarios, and establishes a day-ahead stochastic dispatch model of regional electric heating integrated energy system considering the uncertainty of thermal load. It is verified by simulation that the proposed method has higher accuracy in predicting heat load, can promote the consumption of renewable energy, and effectively reduce the energy cost of users.\",\"PeriodicalId\":252797,\"journal\":{\"name\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEES54426.2022.9759616\",\"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 4th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES54426.2022.9759616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic Optimal Dispatching of Electrothermal Integrated Energy System Considering Uncertainty of Heat Load
This paper is based on Cornish-Fisher series to predict solar irradiance in multiple scenarios, and establishes a day-ahead stochastic dispatch model of regional electric heating integrated energy system considering the uncertainty of thermal load. It is verified by simulation that the proposed method has higher accuracy in predicting heat load, can promote the consumption of renewable energy, and effectively reduce the energy cost of users.