{"title":"基于电动汽车ADR方法的风电场输出曲线调节基础","authors":"Xueliang Huang, Zhechen Huang, H. Qiang, Yi Sun","doi":"10.1109/VPPC.2013.6671703","DOIUrl":null,"url":null,"abstract":"To reduce the carbon emission, the renewable resources and electrical vehicles (EVs) are promoted. However, the EVs will increase demand for electricity and load of grid, and the renewable resources, especially wind power rely on the weather and cannot provide stable power supply. In this article, we propose a future infrastructure for integrated resource planning(IRP) where EVs are demand side resources and renewable power is supply side resource. Instead of complex algorithms, the infrastructure is expected to do real-time control of the demand resources. With simplified algorithms, the infrastructure gather and transmit data for intermediate process. To illustrate the effects of the infrastructure, we established a model and simulated the regulation results with the data gather from a wind farm. The wind power output was sampled by AMIs in the infrastructure. To reduce the time delay, the demand-side resources reacted to the power variation directly without the traditional link of electricity prices. The dimensionless quantities which were based on variance and peak- valley difference were computed for regulation results assessments.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regulation Infrastructure of Wind Farm Power Output Curve Based on ADR Methods of Electrical Vehicles\",\"authors\":\"Xueliang Huang, Zhechen Huang, H. Qiang, Yi Sun\",\"doi\":\"10.1109/VPPC.2013.6671703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce the carbon emission, the renewable resources and electrical vehicles (EVs) are promoted. However, the EVs will increase demand for electricity and load of grid, and the renewable resources, especially wind power rely on the weather and cannot provide stable power supply. In this article, we propose a future infrastructure for integrated resource planning(IRP) where EVs are demand side resources and renewable power is supply side resource. Instead of complex algorithms, the infrastructure is expected to do real-time control of the demand resources. With simplified algorithms, the infrastructure gather and transmit data for intermediate process. To illustrate the effects of the infrastructure, we established a model and simulated the regulation results with the data gather from a wind farm. The wind power output was sampled by AMIs in the infrastructure. To reduce the time delay, the demand-side resources reacted to the power variation directly without the traditional link of electricity prices. The dimensionless quantities which were based on variance and peak- valley difference were computed for regulation results assessments.\",\"PeriodicalId\":119598,\"journal\":{\"name\":\"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VPPC.2013.6671703\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2013.6671703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regulation Infrastructure of Wind Farm Power Output Curve Based on ADR Methods of Electrical Vehicles
To reduce the carbon emission, the renewable resources and electrical vehicles (EVs) are promoted. However, the EVs will increase demand for electricity and load of grid, and the renewable resources, especially wind power rely on the weather and cannot provide stable power supply. In this article, we propose a future infrastructure for integrated resource planning(IRP) where EVs are demand side resources and renewable power is supply side resource. Instead of complex algorithms, the infrastructure is expected to do real-time control of the demand resources. With simplified algorithms, the infrastructure gather and transmit data for intermediate process. To illustrate the effects of the infrastructure, we established a model and simulated the regulation results with the data gather from a wind farm. The wind power output was sampled by AMIs in the infrastructure. To reduce the time delay, the demand-side resources reacted to the power variation directly without the traditional link of electricity prices. The dimensionless quantities which were based on variance and peak- valley difference were computed for regulation results assessments.