Michael Balestrieri, A. James, Matthew Kedis, F. M. Gonzales
{"title":"Mitigation of Grid Susceptibility Caused by Behind-the-Meter Solar Generation","authors":"Michael Balestrieri, A. James, Matthew Kedis, F. M. Gonzales","doi":"10.1109/SusTech47890.2020.9150482","DOIUrl":null,"url":null,"abstract":"A major factor in the enablement of sustainable renewable energy is ensuring utilities are prepared to safely and reliably operate a grid of the future. Bi-directional power flow coupled with uncontrollable DERs requires that utility system operators and planners redesign their operation and load planning processes. Southern California Edison partnered with a third-party company to enhance and demonstrate a software application with the ability to visualize disaggregated masked load, PV generation, and flexible DERs within segmented sections of a distribution circuit. SCE successfully created higher-fidelity power system models for a 66/12kV substation and its associated feeders with 12,012 customers using customer meter and estimated solar from a 3rd party advanced algorithm. PV penetration for this substation varies from 0.66-65%, where PV penetration is defined as the ratio of total peak solar power to peak load apparent power. The application leverages disparate data to provide planners and system operators a more granular estimate and new views of what is happening on the circuit beyond the substation feeder-head. This paper describes the methodology, data sources, validation approach, integration and visualization results and lessons learned from SCE's perspective.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SusTech47890.2020.9150482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A major factor in the enablement of sustainable renewable energy is ensuring utilities are prepared to safely and reliably operate a grid of the future. Bi-directional power flow coupled with uncontrollable DERs requires that utility system operators and planners redesign their operation and load planning processes. Southern California Edison partnered with a third-party company to enhance and demonstrate a software application with the ability to visualize disaggregated masked load, PV generation, and flexible DERs within segmented sections of a distribution circuit. SCE successfully created higher-fidelity power system models for a 66/12kV substation and its associated feeders with 12,012 customers using customer meter and estimated solar from a 3rd party advanced algorithm. PV penetration for this substation varies from 0.66-65%, where PV penetration is defined as the ratio of total peak solar power to peak load apparent power. The application leverages disparate data to provide planners and system operators a more granular estimate and new views of what is happening on the circuit beyond the substation feeder-head. This paper describes the methodology, data sources, validation approach, integration and visualization results and lessons learned from SCE's perspective.