Ji Xing, Zhao Lin, Hou Yixin, Jiang Haiwei, Huo Jingwei, Bai Jianshi, Wang Yingxu
{"title":"Reliability Optimization Planning Method of New Energy Grid Considering the Growth Characteristics of Hydrogen Load","authors":"Ji Xing, Zhao Lin, Hou Yixin, Jiang Haiwei, Huo Jingwei, Bai Jianshi, Wang Yingxu","doi":"10.1109/ICEI57064.2022.00018","DOIUrl":null,"url":null,"abstract":"Different energy networks in NEG can be coupled through efficient conversion devices. Users will use the lowest energy supply cost to meet the energy demand. Therefore, the difficulty of load forecasting increases, which brings new challenges to system planning. Aiming at the problem that the reliability of energy supply is reduced due to the difficulty in identifying the growth characteristics of electro-hydrogen load in new new energy grid (NEG), a reliability optimization planning method for NEG considering the growth characteristics of electro-hydrogen load is proposed in this paper. Firstly, a NEG planning framework including electricity, heat, natural gas and hydrogen energy is established. Secondly, the electro-hydrogen load model including transferable load, interruptible load and hydrogen equivalent electric load is studied. The electro-hydrogen load forecasting model based on SVR-GM is established. This model can accurately quantify the electro-hydrogen load growth characteristics. Then, aiming at construction cost and energy supply reliability, the reliability optimization planning model of NEG is established. Further model solving method based on multi-objective differential evolution algorithm is proposed. Finally, the simulation is carried out according to the actual operation data of NEG in a city of Northeast China. The results show that the proposed method can reduce the total investment cost of the NEG while ensuring the reliability of energy supply.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Energy Internet (ICEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEI57064.2022.00018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Different energy networks in NEG can be coupled through efficient conversion devices. Users will use the lowest energy supply cost to meet the energy demand. Therefore, the difficulty of load forecasting increases, which brings new challenges to system planning. Aiming at the problem that the reliability of energy supply is reduced due to the difficulty in identifying the growth characteristics of electro-hydrogen load in new new energy grid (NEG), a reliability optimization planning method for NEG considering the growth characteristics of electro-hydrogen load is proposed in this paper. Firstly, a NEG planning framework including electricity, heat, natural gas and hydrogen energy is established. Secondly, the electro-hydrogen load model including transferable load, interruptible load and hydrogen equivalent electric load is studied. The electro-hydrogen load forecasting model based on SVR-GM is established. This model can accurately quantify the electro-hydrogen load growth characteristics. Then, aiming at construction cost and energy supply reliability, the reliability optimization planning model of NEG is established. Further model solving method based on multi-objective differential evolution algorithm is proposed. Finally, the simulation is carried out according to the actual operation data of NEG in a city of Northeast China. The results show that the proposed method can reduce the total investment cost of the NEG while ensuring the reliability of energy supply.