电池在日前和日内电力市场的盈利能力:具有内生价格的运营策略评估

IF 14.2 2区 经济学 Q1 ECONOMICS
Arjen T. Veenstra, Machiel Mulder
{"title":"电池在日前和日内电力市场的盈利能力:具有内生价格的运营策略评估","authors":"Arjen T. Veenstra,&nbsp;Machiel Mulder","doi":"10.1016/j.eneco.2025.108608","DOIUrl":null,"url":null,"abstract":"<div><div>Batteries can support future electricity systems by assisting price arbitrage in electricity markets, enhancing self-consumption, and providing ancillary services. Determining the profitability of price arbitrage , i.e. charge at low prices and discharge at high prices., requires evaluating the strategy that is used to benefit from future price fluctuations, and considering its impact on prices. This study examines battery profitability based on price arbitrage in day-ahead and intraday auction markets, where both temporal price differences within markets and price differences between markets are exploited. This is done with an electricity-market model, calibrated on historical Dutch bid-curve data, which estimates the impact of battery bids on market equilibria. We compare profits under perfect foresight with a strategy where the storage operator has perfect foresight of prices but ignores the own effect on prices, and two simpler historical-data-based strategies. It appears that the latter type of simpler strategies can result in profitable operations in case of small battery capacity, and that most profits can be made in the intraday market. However, when battery capacity increases, profitability declines, especially in the intraday market, due to lower market volumes. Increased battery capacity also calls for more advanced operation strategies, as historical price patterns may no longer predict future prices accurately. Even in a year with high price volatility as in 2023, with perfect foresight of prices and 60% lower battery costs, no more than 15% of Dutch households with solar panels can profitably invest in home batteries.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108608"},"PeriodicalIF":14.2000,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Profitability of batteries in day-ahead and intraday electricity markets: Assessment of operation strategies with endogenous prices\",\"authors\":\"Arjen T. Veenstra,&nbsp;Machiel Mulder\",\"doi\":\"10.1016/j.eneco.2025.108608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Batteries can support future electricity systems by assisting price arbitrage in electricity markets, enhancing self-consumption, and providing ancillary services. Determining the profitability of price arbitrage , i.e. charge at low prices and discharge at high prices., requires evaluating the strategy that is used to benefit from future price fluctuations, and considering its impact on prices. This study examines battery profitability based on price arbitrage in day-ahead and intraday auction markets, where both temporal price differences within markets and price differences between markets are exploited. This is done with an electricity-market model, calibrated on historical Dutch bid-curve data, which estimates the impact of battery bids on market equilibria. We compare profits under perfect foresight with a strategy where the storage operator has perfect foresight of prices but ignores the own effect on prices, and two simpler historical-data-based strategies. It appears that the latter type of simpler strategies can result in profitable operations in case of small battery capacity, and that most profits can be made in the intraday market. However, when battery capacity increases, profitability declines, especially in the intraday market, due to lower market volumes. Increased battery capacity also calls for more advanced operation strategies, as historical price patterns may no longer predict future prices accurately. Even in a year with high price volatility as in 2023, with perfect foresight of prices and 60% lower battery costs, no more than 15% of Dutch households with solar panels can profitably invest in home batteries.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"148 \",\"pages\":\"Article 108608\"},\"PeriodicalIF\":14.2000,\"publicationDate\":\"2025-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140988325004359\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325004359","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

电池可以通过协助电力市场的价格套利、增强自我消费和提供辅助服务来支持未来的电力系统。确定价格套利的盈利能力,即低价收费,高价排放。需要评估用于从未来价格波动中获利的策略,并考虑其对价格的影响。本研究考察了基于日前和当日拍卖市场价格套利的电池盈利能力,其中市场内的时间价格差异和市场之间的价格差异都被利用。这是通过电力市场模型完成的,该模型根据荷兰历史竞价曲线数据进行校准,该模型估计了电池竞价对市场均衡的影响。我们将完全预见策略下的利润与存储运营商对价格有完全预见但忽略自身对价格的影响的策略和两种更简单的基于历史数据的策略进行了比较。在电池容量较小的情况下,后一种更简单的策略似乎可以带来盈利,而且大多数利润可以在日内市场中获得。然而,当电池容量增加时,由于市场容量下降,盈利能力下降,尤其是在日内市场。电池容量的增加也需要更先进的运营策略,因为历史价格模式可能不再能准确预测未来的价格。即使在像2023年这样价格波动较大的一年,由于对价格的完美预测和电池成本降低60%,也不会有超过15%的拥有太阳能电池板的荷兰家庭能够投资于家用电池。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profitability of batteries in day-ahead and intraday electricity markets: Assessment of operation strategies with endogenous prices
Batteries can support future electricity systems by assisting price arbitrage in electricity markets, enhancing self-consumption, and providing ancillary services. Determining the profitability of price arbitrage , i.e. charge at low prices and discharge at high prices., requires evaluating the strategy that is used to benefit from future price fluctuations, and considering its impact on prices. This study examines battery profitability based on price arbitrage in day-ahead and intraday auction markets, where both temporal price differences within markets and price differences between markets are exploited. This is done with an electricity-market model, calibrated on historical Dutch bid-curve data, which estimates the impact of battery bids on market equilibria. We compare profits under perfect foresight with a strategy where the storage operator has perfect foresight of prices but ignores the own effect on prices, and two simpler historical-data-based strategies. It appears that the latter type of simpler strategies can result in profitable operations in case of small battery capacity, and that most profits can be made in the intraday market. However, when battery capacity increases, profitability declines, especially in the intraday market, due to lower market volumes. Increased battery capacity also calls for more advanced operation strategies, as historical price patterns may no longer predict future prices accurately. Even in a year with high price volatility as in 2023, with perfect foresight of prices and 60% lower battery costs, no more than 15% of Dutch households with solar panels can profitably invest in home batteries.
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
Energy Economics
Energy Economics ECONOMICS-
CiteScore
18.60
自引率
12.50%
发文量
524
期刊介绍: Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.
×
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:604180095
Book学术官方微信