Additional revenues estimation in a market-based redispatch: An opportunity for flexibility

IF 7.1 Q1 ENERGY & FUELS Energy Conversion and Management-X Pub Date : 2024-10-01 DOI:10.1016/j.ecmx.2024.100745
Erick Andrés Dorado Galatoire , Ángel Arcos-Vargas , José Luis Martínez Ramos
{"title":"Additional revenues estimation in a market-based redispatch: An opportunity for flexibility","authors":"Erick Andrés Dorado Galatoire ,&nbsp;Ángel Arcos-Vargas ,&nbsp;José Luis Martínez Ramos","doi":"10.1016/j.ecmx.2024.100745","DOIUrl":null,"url":null,"abstract":"<div><div>The technical constraints in the transmission networks are exerting significant strain on the functioning of electricity markets as the share of variable renewable energy sources is increasing. To manage this issue, the transition to a nodal pricing market has been proposed in the literature. Given that the current structure of the European Union electricity market corresponds to a zonal pricing, the transition to nodal pricing would imply fundamental changes in its market structure. In order to avoid the latter, this study develops a method to identify locational price signals in a decentralized market with zonal pricing and subsequent market-based redispatch. To this end, first, nodes with structural technical constraints are identified –using energy programmes–. Then, the additional revenues of physical units located at these nodes are estimated –using electricity prices–. Finally, this strategic information will guide the development of flexibility solutions –manageable generation capacity and demand response– in these geographic locations, mimicking the main advantage of nodal pricing. Our methodology has been empirically tested on the Spanish power system, using hourly data from the System Operator and Market Operator for four full years, from 2019 to 2022. The results show a higher and constant economic revenue in certain nodes of this system –upward redispatch price is 74.90% higher than day-ahead market price–. Thus, this method can be used by market participants to evaluate publicly available data from a decentralized market with zonal pricing and subsequent market-based redispatch, and obtain essential information to make the best investment decisions.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"24 ","pages":"Article 100745"},"PeriodicalIF":7.1000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management-X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S259017452400223X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The technical constraints in the transmission networks are exerting significant strain on the functioning of electricity markets as the share of variable renewable energy sources is increasing. To manage this issue, the transition to a nodal pricing market has been proposed in the literature. Given that the current structure of the European Union electricity market corresponds to a zonal pricing, the transition to nodal pricing would imply fundamental changes in its market structure. In order to avoid the latter, this study develops a method to identify locational price signals in a decentralized market with zonal pricing and subsequent market-based redispatch. To this end, first, nodes with structural technical constraints are identified –using energy programmes–. Then, the additional revenues of physical units located at these nodes are estimated –using electricity prices–. Finally, this strategic information will guide the development of flexibility solutions –manageable generation capacity and demand response– in these geographic locations, mimicking the main advantage of nodal pricing. Our methodology has been empirically tested on the Spanish power system, using hourly data from the System Operator and Market Operator for four full years, from 2019 to 2022. The results show a higher and constant economic revenue in certain nodes of this system –upward redispatch price is 74.90% higher than day-ahead market price–. Thus, this method can be used by market participants to evaluate publicly available data from a decentralized market with zonal pricing and subsequent market-based redispatch, and obtain essential information to make the best investment decisions.
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
基于市场的重新调度中的额外收入估算:提高灵活性的机会
随着可变可再生能源比例的增加,输电网络的技术限制对电力市场的运作造成了巨大压力。为了解决这一问题,文献中提出了向节点定价市场过渡的建议。鉴于欧盟电力市场目前的结构与分区定价相对应,向节点定价过渡将意味着其市场结构发生根本性变化。为避免出现后一种情况,本研究开发了一种方法,用于在分区定价的分散市场中识别定位价格信号,并随后进行基于市场的重新调度。为此,首先要利用能源方案确定存在结构性技术限制的节点。然后,利用电价估算出位于这些节点的物理单位的额外收益。最后,这些战略信息将指导这些地理位置的灵活性解决方案(可管理发电能力和需求响应)的开发,从而模仿节点定价的主要优势。我们的方法已在西班牙电力系统中进行了实证测试,使用的是系统运营商和市场运营商提供的从 2019 年到 2022 年整整四年的每小时数据。结果显示,在该系统的某些节点,经济收入较高且保持不变--上行再调度价格比日前市场价格高 74.90%。因此,市场参与者可以使用这种方法来评估来自分区定价的分散市场的公开数据以及随后基于市场的再调度,并获得做出最佳投资决策的必要信息。
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
CiteScore
8.80
自引率
3.20%
发文量
180
审稿时长
58 days
期刊介绍: Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.
期刊最新文献
Water desalination using waste heat recovery of thermal power plant in tropical climate; optimization by AI Thermal management performance of a novel elliptically grooved flat heat pipe system embedded with internally cooled condenser Life cycle greenhouse gas emissions and cost of energy transport from Saudi Arabia with conventional fuels and liquefied natural gas Circulation of self-supplied water for significant energy recovery through heat integration A novel algorithm for optimizing genset operations to minimize fuel consumption in remote diesel-RES microgrids
×
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