{"title":"Load Prediction of Electric Heating Cluster and Its Influence on Rural Distribution Network","authors":"Shupeng Li, Xianxu Huo, X. Xi, Jiancheng Yu, Yaqing Zhang, Jiarui Zhang","doi":"10.1109/ACPEE51499.2021.9436881","DOIUrl":null,"url":null,"abstract":"With the gradual advancement of the \"coal-to-electricity\" project, a large number of electric heating equipment are connected to the rural power distribution network, and a new typical daily peak load in winter appears, which brings challenges to the safe and stable operation of the power distribution network. Therefore, this paper proposes a load forecasting method for rural distribution network connected to electric heating cluster and its impact on distribution network. First, a load forecasting model for rural heating with electricity is built; then, peak-valley correlation, network loss, and voltage offset are proposed to evaluate electricity the influence of heating cluster load on rural distribution network; finally, the effectiveness of the electric heating cluster load forecasting method proposed in this paper is verified by a typical example, and the impact of the electric heating access on the distribution network is evaluated by the proposed indicators.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE51499.2021.9436881","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
With the gradual advancement of the "coal-to-electricity" project, a large number of electric heating equipment are connected to the rural power distribution network, and a new typical daily peak load in winter appears, which brings challenges to the safe and stable operation of the power distribution network. Therefore, this paper proposes a load forecasting method for rural distribution network connected to electric heating cluster and its impact on distribution network. First, a load forecasting model for rural heating with electricity is built; then, peak-valley correlation, network loss, and voltage offset are proposed to evaluate electricity the influence of heating cluster load on rural distribution network; finally, the effectiveness of the electric heating cluster load forecasting method proposed in this paper is verified by a typical example, and the impact of the electric heating access on the distribution network is evaluated by the proposed indicators.