{"title":"Studying the impacts of incorporating energy storage devices into an aggregated probabilistic model of a virtual power plant","authors":"A. Bagchi, L. Goel, Peng Wang","doi":"10.1109/PMAPS.2016.7764113","DOIUrl":null,"url":null,"abstract":"This paper focusses on studying the changes brought about in the aggregated probabilistic representation of a distribution network containing distributed generation and local loads after the incorporation of Energy Storage Devices (ESD) into the said network. A stochastic model of the ESD is first constructed using a suitable charging/discharging strategy, and it is then combined with information about hourly generation and load for developing the overall profile of the different distribution side components, aggregated at the transmission bus level, in the form of a Virtual Power Plant (VPP). Several indices are introduced for comparing the average annual energy contributions of the VPP's constituent renewable and conventional source based generators in charging the ESDs. The VPP is modeled using a modified Roy Billinton Test System Bus 5 distribution network, and the impacts of changes in ESD related parameters like rated capacity and charging time on the introduced indices are investigated.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS.2016.7764113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper focusses on studying the changes brought about in the aggregated probabilistic representation of a distribution network containing distributed generation and local loads after the incorporation of Energy Storage Devices (ESD) into the said network. A stochastic model of the ESD is first constructed using a suitable charging/discharging strategy, and it is then combined with information about hourly generation and load for developing the overall profile of the different distribution side components, aggregated at the transmission bus level, in the form of a Virtual Power Plant (VPP). Several indices are introduced for comparing the average annual energy contributions of the VPP's constituent renewable and conventional source based generators in charging the ESDs. The VPP is modeled using a modified Roy Billinton Test System Bus 5 distribution network, and the impacts of changes in ESD related parameters like rated capacity and charging time on the introduced indices are investigated.
本文主要研究了在包含分布式发电和局部负荷的配电网中加入储能设备后,该配电网的聚合概率表示所发生的变化。首先使用合适的充电/放电策略构建ESD的随机模型,然后将其与每小时发电量和负荷的信息相结合,以虚拟发电厂(VPP)的形式在传输总线级别汇总,以开发不同配电侧组件的总体概况。介绍了几个指标,用于比较VPP组成的可再生能源发电机和传统能源发电机在向esd充电时的年平均能源贡献。采用改进的Roy Billinton Test System Bus 5配电网对VPP进行建模,研究了额定容量和充电时间等ESD相关参数的变化对引入指标的影响。