{"title":"光伏分布式能源在线健康监测","authors":"Rojan Bhattarai, H. Garcia","doi":"10.1109/PESGM48719.2022.9916726","DOIUrl":null,"url":null,"abstract":"Distributed energy resources (DERs), like rooftop solar photovoltaic (PV) systems, contribute to the largest renew-able energy footprint in the US. With the proliferation of PV DERs, and its ever increasing adoption, stable distribution system operation is now highly dependent on the normal operation of PV DERs. The common notion, so far, for PV DERs was to “set it, and forget it”, with inadequate attention directed towards abnormality detection and operational health status monitoring over its deployment tenure. This paper presents an online operational health monitoring approach for PV DERs that integrates process variable estimators (PVEs), residual computation, statistical sequential analysis, and probabilistic health aggregation to monitor operational health of PV DERs. Implementation of these various components for health monitoring of PV DERs is discussed and their individual as well as integrated performance is illustrated through simulation. Various usage for health monitoring of PV DERs is discussed including large-scale PV DERs management, proactive maintenance of PV DER assets and situational awareness.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Online Health Monitoring of Photovoltaic Distributed Energy Resources\",\"authors\":\"Rojan Bhattarai, H. Garcia\",\"doi\":\"10.1109/PESGM48719.2022.9916726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed energy resources (DERs), like rooftop solar photovoltaic (PV) systems, contribute to the largest renew-able energy footprint in the US. With the proliferation of PV DERs, and its ever increasing adoption, stable distribution system operation is now highly dependent on the normal operation of PV DERs. The common notion, so far, for PV DERs was to “set it, and forget it”, with inadequate attention directed towards abnormality detection and operational health status monitoring over its deployment tenure. This paper presents an online operational health monitoring approach for PV DERs that integrates process variable estimators (PVEs), residual computation, statistical sequential analysis, and probabilistic health aggregation to monitor operational health of PV DERs. Implementation of these various components for health monitoring of PV DERs is discussed and their individual as well as integrated performance is illustrated through simulation. Various usage for health monitoring of PV DERs is discussed including large-scale PV DERs management, proactive maintenance of PV DER assets and situational awareness.\",\"PeriodicalId\":388672,\"journal\":{\"name\":\"2022 IEEE Power & Energy Society General Meeting (PESGM)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Power & Energy Society General Meeting (PESGM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESGM48719.2022.9916726\",\"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 Power & Energy Society General Meeting (PESGM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESGM48719.2022.9916726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online Health Monitoring of Photovoltaic Distributed Energy Resources
Distributed energy resources (DERs), like rooftop solar photovoltaic (PV) systems, contribute to the largest renew-able energy footprint in the US. With the proliferation of PV DERs, and its ever increasing adoption, stable distribution system operation is now highly dependent on the normal operation of PV DERs. The common notion, so far, for PV DERs was to “set it, and forget it”, with inadequate attention directed towards abnormality detection and operational health status monitoring over its deployment tenure. This paper presents an online operational health monitoring approach for PV DERs that integrates process variable estimators (PVEs), residual computation, statistical sequential analysis, and probabilistic health aggregation to monitor operational health of PV DERs. Implementation of these various components for health monitoring of PV DERs is discussed and their individual as well as integrated performance is illustrated through simulation. Various usage for health monitoring of PV DERs is discussed including large-scale PV DERs management, proactive maintenance of PV DER assets and situational awareness.