Bidding strategy for independent energy storage participating in the day-ahead energy and reserve joint market

陈 征; 付宝俊; 邱飞翔; 杨志豪; 杨雨潇; 刘皓明

doi:10.3969/j.issn.1009-1831.2025.05.009

您当前的位置：

首页 >

文章列表页 >

Bidding strategy for independent energy storage participating in the day-ahead energy and reserve joint market

更新时间：2026-03-05

- Bidding strategy for independent energy storage participating in the day-ahead energy and reserve joint market
- Vol. 27, Issue 5, (2025)
- 作者机构：
  
  1. 国网（北京）综合能源规划设计研究院有限公司,北京,100052
  2. 河海大学电气与动力工程学院,南京,211100
  3. 扬州大学电气与能源动力工程学院,江苏,扬州,225127
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.05.009
  CLC：
- Published：2025
- 稿件说明：
移动端阅览
陈征, 付宝俊, 邱飞翔, et al. Bidding strategy for independent energy storage participating in the day-ahead energy and reserve joint market[J]. 2025, 27(5).
DOI：

陈征, 付宝俊, 邱飞翔, et al. Bidding strategy for independent energy storage participating in the day-ahead energy and reserve joint market[J]. 2025, 27(5). DOI： 10.3969/j.issn.1009-1831.2025.05.009.

摘要

针对独立储能作为新兴市场主体在竞争性联合电力市场中竞价机制尚不完善问题，通过建立功率报量与报价的方式模拟各市场主体的竞价行为，以此构建独立储能参与日前电能量和备用联合市场的竞价双层优化模型。上层独立储能通过优化功率-价格竞价策略实现联合市场的收益最大化，下层电力交易中心通过最小化社会购电成本完成市场出清。为提高模型的求解效率，利用KKT条件和强对偶定理对下层问题进行等价变换。通过仿真对所提竞价策略进行建模并调用商用求解器进行求解，验证所提策略在优化独立储能竞价策略及增强其市场参与效果等方面的有效性。

Abstract

To address the imperfect bidding mechanisms for independent energy storage as an emerging market participant in competitive joint electricity markets

the bidding behavior of various market entities by modeling power quantities and price offers is simulated. Based on this

a bi-level optimization model is constructed to represent the bidding strategy of independent energy storage participating in the day-ahead energy and reserve joint market. In the upper level

the independent energy storage system maximizes its revenue in the dayahead energy and reserve joint market by optimizing its power-price bidding strategy. In the lower level

the power trading center clears the market by minimizing the total social electricity procurement cost. To improve the computational efficiency of the model

the lower-level problem is reformulated using the KKT conditions and the strong duality theorem. Simulation studies are conducted using a commercial solver to verify the effectiveness of the proposed bidding strategy in optimizing independent energy storage participation and enhancing its performance in the market.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Bidding strategies of virtual power plants considering diverse uncertainties

Optimization of electrically driven heat pump heating system for heat stations

Research on demand response modeling strategy in PJM capacity market

刨花板坯输送钢带起褶原因与防治措施

热风干燥槠、栲类木材工艺探索及其应用

Related Author

吴恒

杨振华

程少靖

曹晓庆

杨轩

王清祥

郑万冬

陈卓

Related Institution

武汉华源电力设计院有限公司

江苏智臻能源科技有限公司

呼和浩特富泰热力股份有限公司

中国市政工程华北设计研究总院有限公司第六设计研究院

AI问答

⁰