{"title":"An Operation Status Correlation Analysis Method of Integrated Electricity-Water System Based on Random Matrix Theory","authors":"Hong Tan, Luo Wang, Rong Dai, Xia Zhao","doi":"10.1109/iSPEC53008.2021.9735676","DOIUrl":null,"url":null,"abstract":"For the tightly coupled integrated electricity and water system (IEWS), model-driven methods are often based on a lot of assumptions. A data-driven method, as a novel alternative, is proposed to analyze the operation status correlation of the IEWS. First, based on the random matrix theory, the mean spectral radius and the maximum eigenvalue are used to analyze the correlation of status data and study the system status without a detailed physical model. Second, the augmented matrix method is used to analyze the correlation between the influencing factors and the system status. The effectiveness of the proposed method is verified by a test IEWS composed of the IEEE 33-bus system and a 27-node water distribution network (WDN).","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSPEC53008.2021.9735676","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
For the tightly coupled integrated electricity and water system (IEWS), model-driven methods are often based on a lot of assumptions. A data-driven method, as a novel alternative, is proposed to analyze the operation status correlation of the IEWS. First, based on the random matrix theory, the mean spectral radius and the maximum eigenvalue are used to analyze the correlation of status data and study the system status without a detailed physical model. Second, the augmented matrix method is used to analyze the correlation between the influencing factors and the system status. The effectiveness of the proposed method is verified by a test IEWS composed of the IEEE 33-bus system and a 27-node water distribution network (WDN).