Dynamic Pricing Based Optimal Power Mix of Grid Connected Micro Grid Using Energy Management System

E. Mahesh Ramachandran, K. V. Vijaya Chandrakala
{"title":"Dynamic Pricing Based Optimal Power Mix of Grid Connected Micro Grid Using Energy Management System","authors":"E. Mahesh Ramachandran, K. V. Vijaya Chandrakala","doi":"10.1109/i-PACT44901.2019.8960088","DOIUrl":null,"url":null,"abstract":"This paper proposes a control algorithm for an efficient Energy Management System (EMS) meeting towards minimizing the operating cost of the micro grid in grid connected mode. The microgrid system consists of distributed energy sources mainly renewable energy sources, photovoltaic (PV), Wind Turbine (WT), and Battery Energy Storage (BES) which is lithium-ion battery system is considered as power mix in the analysis. The convex optimization technique is used to determine the optimal scheduling of the microgrid system. To the EMS system, the forecasted wind power, solar power and the electricity market price i.e. time of demand price is given as input parameters. The convex optimization techniques helps to control and provide the day ahead scheduling of power production from each renewable sources, charging and discharging time of the battery storage system. The work tries to show the importance of an energy management system for a dynamic power market from an economic point of view.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT44901.2019.8960088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This paper proposes a control algorithm for an efficient Energy Management System (EMS) meeting towards minimizing the operating cost of the micro grid in grid connected mode. The microgrid system consists of distributed energy sources mainly renewable energy sources, photovoltaic (PV), Wind Turbine (WT), and Battery Energy Storage (BES) which is lithium-ion battery system is considered as power mix in the analysis. The convex optimization technique is used to determine the optimal scheduling of the microgrid system. To the EMS system, the forecasted wind power, solar power and the electricity market price i.e. time of demand price is given as input parameters. The convex optimization techniques helps to control and provide the day ahead scheduling of power production from each renewable sources, charging and discharging time of the battery storage system. The work tries to show the importance of an energy management system for a dynamic power market from an economic point of view.
基于动态定价的并网微网能源管理系统最优功率组合
针对并网模式下微网运行成本最小化的问题,提出了一种高效能源管理系统(EMS)控制算法。微电网系统由以可再生能源为主的分布式能源、光伏(PV)、风力发电(WT)和电池储能(BES)组成,其中锂离子电池系统为电源组合。采用凸优化技术确定微网系统的最优调度。EMS系统以预测的风电、太阳能发电和电力市场价格即需求时段价格作为输入参数。凸优化技术有助于控制和提供各可再生能源发电的提前调度、电池储能系统的充放电时间。本文试图从经济角度说明能源管理系统对动态电力市场的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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