{"title":"Modeling and Analysis of Compound Aggregation of Household Load Groups Participating in Demand Side Response","authors":"Xiaoquan Jiao, Qingshan Xu","doi":"10.1109/ICGEA49367.2020.239689","DOIUrl":null,"url":null,"abstract":"In order to ensure the stable operation of the household power system, a comprehensive aggregation model of the household load group participating in the demand side response is proposed. According to the principle of participating in the demand side response, operation parameters of the household power system are collected and the corresponding values of household load groups are calculated. Based on the calculated composite values, the polymerization process at night is processed. Then the aggregation process is optimized, and a fast aggregation decision tree is established accordingly. The aggregation model based on potential assessment is established according to electricity consumption habits of users and operating characteristics of equipment. The experiment shows that the load response performance of the research method can be better. The user satisfaction is over 90%, the load scheduling time is less than 1.8s, and the daily power consumption of the family can be reduced. This proves that the comprehensive performance of the method can be better and the application effect can be more ideal.","PeriodicalId":140641,"journal":{"name":"2020 4th International Conference on Green Energy and Applications (ICGEA)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th International Conference on Green Energy and Applications (ICGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGEA49367.2020.239689","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
In order to ensure the stable operation of the household power system, a comprehensive aggregation model of the household load group participating in the demand side response is proposed. According to the principle of participating in the demand side response, operation parameters of the household power system are collected and the corresponding values of household load groups are calculated. Based on the calculated composite values, the polymerization process at night is processed. Then the aggregation process is optimized, and a fast aggregation decision tree is established accordingly. The aggregation model based on potential assessment is established according to electricity consumption habits of users and operating characteristics of equipment. The experiment shows that the load response performance of the research method can be better. The user satisfaction is over 90%, the load scheduling time is less than 1.8s, and the daily power consumption of the family can be reduced. This proves that the comprehensive performance of the method can be better and the application effect can be more ideal.