Research on the strategies of electricity retailers: Retail plan design and reserve market participation

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-05 DOI:10.1016/j.ijepes.2024.110232

Hao Ming , Kairui Zhang , Ciwei Gao , Jie Yu , Xingyu Yan , Boyuan Xie

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引用次数: 0

Abstract

The high penetration of the renewables makes the power grid operation less reliable and risky. Demand Response programs can provide flexible capacity to alleviate the operational pressure. In a typical competitive retail market, the electricity retailer can incentivize the consumers to provide demand reduction in the reserve market and obtain additional profit from the grid. In the wholesale and reserve market, the participants receive a two-part income of certain revenue and activation revenue. In this paper, the optimal strategy of the electricity retailers is studied, including two proposed retail plans as well as the retailer’s bidding strategy in the wholesale reserve market. The proposed strategy is proven effective through a case study, demonstrating that introducing incentive-based demand response in the retail plan creates a win-win-win situation for the grid, retailers, and consumers. The experiment demonstrates that competitive bundles can generate at least 22 % additional revenue for retailers, while customized bundles can bring in an additional 23 % revenue for retailers and contribute to the system with an extra 9 % in reserve capacity bidding.

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电力零售商战略研究：零售计划设计和储备市场参与

可再生能源的高渗透率降低了电网运行的可靠性和风险。需求响应计划可以提供灵活的容量来缓解运行压力。在典型的竞争性零售市场中，电力零售商可以激励消费者在储备市场中减少需求，并从电网中获取额外利润。在批发市场和储备市场中，参与者可获得一定收入和激活收入两部分收入。本文研究了电力零售商的最优策略，包括两种建议的零售计划以及零售商在批发储备市场的投标策略。通过案例研究证明了建议策略的有效性，表明在零售计划中引入激励性需求响应可为电网、零售商和消费者创造三赢局面。实验证明，竞争性捆绑可为零售商带来至少 22% 的额外收入，而定制捆绑可为零售商带来 23% 的额外收入，并在储备容量竞标中为系统额外贡献 9%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.