{"title":"新泽西州和加利福尼亚州三个公用事业服务区域的光伏系统机组输出功率变异性","authors":"A. Golnas, S. Voss","doi":"10.1109/PVSC.2010.5616824","DOIUrl":null,"url":null,"abstract":"The recent growth of the number and cumulative size of PV installations in regions with solar-friendly programs has raised the profile of those systems' potential impact on the electric grid. As grid-tied PV systems are a variable resource, it is important to characterize the variability of their output when aggregated over fleets within a service territory. SunEdison operates more than 300 systems ranging from 30 to 9,000 kWp across North America and monitors the power output of each one with a 1-minute resolution. We present an analysis of the observed power output variability of 67 PV systems across 3 utility service territories in California and New Jersey, during days of variable solar resource. One of the metrics is the standard deviation of the power output's change over 1-minute intervals across 4 hours near the solar peak. By aggregating power output over fleets of constant rated capacity but different make up, we show that variability is affected by both mean system size and fleet composition.","PeriodicalId":6424,"journal":{"name":"2010 35th IEEE Photovoltaic Specialists Conference","volume":"12 1","pages":"000535-000539"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Power output variability of PV system fleets in three utility service territories in New Jersey and California\",\"authors\":\"A. Golnas, S. Voss\",\"doi\":\"10.1109/PVSC.2010.5616824\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recent growth of the number and cumulative size of PV installations in regions with solar-friendly programs has raised the profile of those systems' potential impact on the electric grid. As grid-tied PV systems are a variable resource, it is important to characterize the variability of their output when aggregated over fleets within a service territory. SunEdison operates more than 300 systems ranging from 30 to 9,000 kWp across North America and monitors the power output of each one with a 1-minute resolution. We present an analysis of the observed power output variability of 67 PV systems across 3 utility service territories in California and New Jersey, during days of variable solar resource. One of the metrics is the standard deviation of the power output's change over 1-minute intervals across 4 hours near the solar peak. By aggregating power output over fleets of constant rated capacity but different make up, we show that variability is affected by both mean system size and fleet composition.\",\"PeriodicalId\":6424,\"journal\":{\"name\":\"2010 35th IEEE Photovoltaic Specialists Conference\",\"volume\":\"12 1\",\"pages\":\"000535-000539\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 35th IEEE Photovoltaic Specialists Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PVSC.2010.5616824\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 35th IEEE Photovoltaic Specialists Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PVSC.2010.5616824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power output variability of PV system fleets in three utility service territories in New Jersey and California
The recent growth of the number and cumulative size of PV installations in regions with solar-friendly programs has raised the profile of those systems' potential impact on the electric grid. As grid-tied PV systems are a variable resource, it is important to characterize the variability of their output when aggregated over fleets within a service territory. SunEdison operates more than 300 systems ranging from 30 to 9,000 kWp across North America and monitors the power output of each one with a 1-minute resolution. We present an analysis of the observed power output variability of 67 PV systems across 3 utility service territories in California and New Jersey, during days of variable solar resource. One of the metrics is the standard deviation of the power output's change over 1-minute intervals across 4 hours near the solar peak. By aggregating power output over fleets of constant rated capacity but different make up, we show that variability is affected by both mean system size and fleet composition.