Sen Wang, Y. Qi, Ke Xu, Dengxin Ai, Li Zhang, Hong Liu
{"title":"高比例可再生能源和多类型储能的社区综合能源系统中长期优化调度","authors":"Sen Wang, Y. Qi, Ke Xu, Dengxin Ai, Li Zhang, Hong Liu","doi":"10.1109/PSET56192.2022.10100616","DOIUrl":null,"url":null,"abstract":"response to the problems that the existing studies have not fully considered the role of hydrogen storage in the longtime and large-scale new energy consumption and the existing energy systems containing hydrogen storage have not fully considered the severe weather conditions in the scheduling, a medium-term and long-term optimal scheduling for community integrated energy system with high proportion of renewable energy and multi-type energy storage is proposed. Firstly, a typical day selection method and a typical day sequence formation method are proposed based on the traditional multi-scenario method and the year-round weather conditions; secondly, a medium-term and long-term operation state description method for hydrogen energy storage considering the internal characteristics of typical days and the external arrangement sequence of typical days is proposed; again, the architecture of the integrated energy system containing hydrogen and thermal energy storage is introduced. Based on the internal characteristics of a typical day and the external linkage of a typical day, a medium-term and long-term optimal scheduling model and solution method for the community integrated energy system with high proportion of renewable energy and multi-type energy storage are proposed. Finally, the effectiveness and practicality of the proposed method are verified through the analysis of calculation cases.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Medium-Term and Long-Term Optimal Scheduling for Community Integrated Energy System with High Proportion of Renewable Energy and Multi-type Energy Storage\",\"authors\":\"Sen Wang, Y. Qi, Ke Xu, Dengxin Ai, Li Zhang, Hong Liu\",\"doi\":\"10.1109/PSET56192.2022.10100616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"response to the problems that the existing studies have not fully considered the role of hydrogen storage in the longtime and large-scale new energy consumption and the existing energy systems containing hydrogen storage have not fully considered the severe weather conditions in the scheduling, a medium-term and long-term optimal scheduling for community integrated energy system with high proportion of renewable energy and multi-type energy storage is proposed. Firstly, a typical day selection method and a typical day sequence formation method are proposed based on the traditional multi-scenario method and the year-round weather conditions; secondly, a medium-term and long-term operation state description method for hydrogen energy storage considering the internal characteristics of typical days and the external arrangement sequence of typical days is proposed; again, the architecture of the integrated energy system containing hydrogen and thermal energy storage is introduced. Based on the internal characteristics of a typical day and the external linkage of a typical day, a medium-term and long-term optimal scheduling model and solution method for the community integrated energy system with high proportion of renewable energy and multi-type energy storage are proposed. Finally, the effectiveness and practicality of the proposed method are verified through the analysis of calculation cases.\",\"PeriodicalId\":402897,\"journal\":{\"name\":\"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PSET56192.2022.10100616\",\"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 IEEE International Conference on Power Systems and Electrical Technology (PSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSET56192.2022.10100616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medium-Term and Long-Term Optimal Scheduling for Community Integrated Energy System with High Proportion of Renewable Energy and Multi-type Energy Storage
response to the problems that the existing studies have not fully considered the role of hydrogen storage in the longtime and large-scale new energy consumption and the existing energy systems containing hydrogen storage have not fully considered the severe weather conditions in the scheduling, a medium-term and long-term optimal scheduling for community integrated energy system with high proportion of renewable energy and multi-type energy storage is proposed. Firstly, a typical day selection method and a typical day sequence formation method are proposed based on the traditional multi-scenario method and the year-round weather conditions; secondly, a medium-term and long-term operation state description method for hydrogen energy storage considering the internal characteristics of typical days and the external arrangement sequence of typical days is proposed; again, the architecture of the integrated energy system containing hydrogen and thermal energy storage is introduced. Based on the internal characteristics of a typical day and the external linkage of a typical day, a medium-term and long-term optimal scheduling model and solution method for the community integrated energy system with high proportion of renewable energy and multi-type energy storage are proposed. Finally, the effectiveness and practicality of the proposed method are verified through the analysis of calculation cases.