Congestion relief market model based on load biddings

G. Marco Tina, C. F. Nicolosi, P. Siano
{"title":"Congestion relief market model based on load biddings","authors":"G. Marco Tina, C. F. Nicolosi, P. Siano","doi":"10.1109/SEST.2019.8849024","DOIUrl":null,"url":null,"abstract":"In an ever more complex, deregulated and challenging electrical energy environment, new technical and economic solutions must be investigated to ensure the stability and reliability of power systems. In this context other resources such as renewable power plants and electrical loads should be involved to provide ancillary services on the basis of new markets rules. Specifically, electrical loads should modify their consumption patterns thanks to the possibility to earn money from the participation to ancillary services markets in competition with traditional power plants. This work proposes a market for the resolution of congestions where electrical loads are also involved. The study partly simulates what will actually happen in the Italian ancillary services market (MSD), where electrical loads will be active players. From a technical point of view, congestions are resolved by selecting the load's bids using technical-economic indices calculated from the Transmission Loading Relief (TLR) sensitivity analysis. The effectiveness of the proposed method is verified by carrying out some simulation results on the IEEE 24 bus reliability verification system.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEST.2019.8849024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In an ever more complex, deregulated and challenging electrical energy environment, new technical and economic solutions must be investigated to ensure the stability and reliability of power systems. In this context other resources such as renewable power plants and electrical loads should be involved to provide ancillary services on the basis of new markets rules. Specifically, electrical loads should modify their consumption patterns thanks to the possibility to earn money from the participation to ancillary services markets in competition with traditional power plants. This work proposes a market for the resolution of congestions where electrical loads are also involved. The study partly simulates what will actually happen in the Italian ancillary services market (MSD), where electrical loads will be active players. From a technical point of view, congestions are resolved by selecting the load's bids using technical-economic indices calculated from the Transmission Loading Relief (TLR) sensitivity analysis. The effectiveness of the proposed method is verified by carrying out some simulation results on the IEEE 24 bus reliability verification system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于负荷竞价的拥堵缓解市场模型
在一个更加复杂,放松管制和具有挑战性的电力环境中,必须研究新的技术和经济解决方案,以确保电力系统的稳定性和可靠性。在这方面,应利用可再生能源发电厂和电力负荷等其他资源,根据新的市场规则提供辅助服务。具体来说,电力负荷应该调整自己的消费模式,因为有可能通过参与辅助服务市场与传统电厂竞争来赚钱。这项工作提出了解决电力负荷也涉及的拥堵的市场。该研究部分模拟了意大利辅助服务市场(MSD)的实际情况,其中电力负荷将成为活跃的参与者。从技术角度来看,通过利用输电负荷缓解(TLR)敏感性分析计算的技术经济指标选择负荷标价来解决拥塞问题。在IEEE 24总线可靠性验证系统上进行了仿真实验,验证了该方法的有效性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Measurement Data Acquisition System in Laboratory for Renewable Energy Sources Enhancing Short-Circuit Level and Dynamic Reactive Power Exchange in GB Transmission Networks under Low Inertia Scenarios What time-period aggregation method works best for power system operation models with renewables and storage? Primary and Secondary Control in Lossy Inverter-Based Microgrids Analysis of Battery Energy Storage System Integration in a Combined Cycle Power Plant
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1