参与一天前市场的虚拟产消者的电池存储的最佳利用率

G. Knežević, Monika Maligec, Velimir Golub, D. Topić
{"title":"参与一天前市场的虚拟产消者的电池存储的最佳利用率","authors":"G. Knežević, Monika Maligec, Velimir Golub, D. Topić","doi":"10.1109/SST49455.2020.9264092","DOIUrl":null,"url":null,"abstract":"In this paper, a model for obtaining optimal market bid on a day-ahead market for a virtual prosumer representing a group of prosumers is presented. Optimization model gives the optimal plan of a battery storage utilization to achieve maximal profit on the day-ahead. Optimization model is applied on a case study in order to show general features of the model. The case study is made on supposed power system based on the 700 households each obtaining photovoltaic (PV) power plant rated power of 10 kW. These 700 prosumers are represented by one virtual prosumer that has available battery storage rated capacity of 50 MWh. Virtual prosumer participates in the CROPEX day-ahead market.","PeriodicalId":284895,"journal":{"name":"2020 International Conference on Smart Systems and Technologies (SST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The optimal utilization of the battery storage for a virtual prosumer participating on a day-ahead market\",\"authors\":\"G. Knežević, Monika Maligec, Velimir Golub, D. Topić\",\"doi\":\"10.1109/SST49455.2020.9264092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a model for obtaining optimal market bid on a day-ahead market for a virtual prosumer representing a group of prosumers is presented. Optimization model gives the optimal plan of a battery storage utilization to achieve maximal profit on the day-ahead. Optimization model is applied on a case study in order to show general features of the model. The case study is made on supposed power system based on the 700 households each obtaining photovoltaic (PV) power plant rated power of 10 kW. These 700 prosumers are represented by one virtual prosumer that has available battery storage rated capacity of 50 MWh. Virtual prosumer participates in the CROPEX day-ahead market.\",\"PeriodicalId\":284895,\"journal\":{\"name\":\"2020 International Conference on Smart Systems and Technologies (SST)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Smart Systems and Technologies (SST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SST49455.2020.9264092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Systems and Technologies (SST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SST49455.2020.9264092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文给出了一个虚拟产消者代表一组产消者在日前市场上获得最优市场出价的模型。优化模型给出了以前一天利润最大化为目标的电池储能利用的最优方案。通过实例分析,揭示了优化模型的一般特征。以700户每户获得10千瓦的光伏电站额定功率为例,对假设的电力系统进行了实例分析。这700个产消者由一个虚拟产消者代表,该虚拟产消者的可用电池存储额定容量为50兆瓦时。虚拟产消者参与CROPEX日前市场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The optimal utilization of the battery storage for a virtual prosumer participating on a day-ahead market
In this paper, a model for obtaining optimal market bid on a day-ahead market for a virtual prosumer representing a group of prosumers is presented. Optimization model gives the optimal plan of a battery storage utilization to achieve maximal profit on the day-ahead. Optimization model is applied on a case study in order to show general features of the model. The case study is made on supposed power system based on the 700 households each obtaining photovoltaic (PV) power plant rated power of 10 kW. These 700 prosumers are represented by one virtual prosumer that has available battery storage rated capacity of 50 MWh. Virtual prosumer participates in the CROPEX day-ahead market.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信