DECISION FOR DAY-AHEAD AND REAL-TIME OPERATION OF ENERGY STORAGE PLANTS CONSIDERING SMOOTHING OF NEW ENERGY FLUCTUATIONS

Li Qingchun; Xu Junwei; Zhang Shaoqiang; Zhang Jian; Zhang Ye; Li Aikui

doi:10.19912/j.0254-0096.tynxb.2023-1900

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DECISION FOR DAY-AHEAD AND REAL-TIME OPERATION OF ENERGY STORAGE PLANTS CONSIDERING SMOOTHING OF NEW ENERGY FLUCTUATIONS

更新时间：2025-10-18

- DECISION FOR DAY-AHEAD AND REAL-TIME OPERATION OF ENERGY STORAGE PLANTS CONSIDERING SMOOTHING OF NEW ENERGY FLUCTUATIONS
- Vol. 46, Issue 3, Pages: 43-53(2025)
- 作者机构：
  
  1. 辽宁电力交易中心有限公司,沈阳 110006
  2. 大连理工大学电气工程学院,大连 116000
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1900
  CLC： TM73
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
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李青春, 徐君威, 张绍强, 张建, 张晔, 李爱魁. 计及新能源波动平抑的储能电站日前-实时运行决策[J]. 太阳能学报, 2025, 46(3): 43-53.

Li Qingchun, Xu Junwei, Zhang Shaoqiang, et al. DECISION FOR DAY-AHEAD AND REAL-TIME OPERATION OF ENERGY STORAGE PLANTS CONSIDERING SMOOTHING OF NEW ENERGY FLUCTUATIONS[J]. 2025, 46(3): 43-53.
李青春, 徐君威, 张绍强, 张建, 张晔, 李爱魁. 计及新能源波动平抑的储能电站日前-实时运行决策[J]. 太阳能学报, 2025, 46(3): 43-53. DOI： 10.19912/j.0254-0096.tynxb.2023-1900.

Li Qingchun, Xu Junwei, Zhang Shaoqiang, et al. DECISION FOR DAY-AHEAD AND REAL-TIME OPERATION OF ENERGY STORAGE PLANTS CONSIDERING SMOOTHING OF NEW ENERGY FLUCTUATIONS[J]. 2025, 46(3): 43-53. DOI： 10.19912/j.0254-0096.tynxb.2023-1900.

摘要

针对用于波动平抑的新能源侧储能电站参与电力市场的运行决策策略问题

基于现有储能参与电力市场的政策

提出一种新能源侧储能电站平抑波动剩余容量参与电能量市场与调频市场的应用模式

日前阶段制订运行计划

实时阶段滚动优化储能电站运行决策

考虑调频市场需求不确定性以及调频功率越限对储能调频收益的影响

以新能源功率与电价预测曲线为输入条件

构建计及新能源波动平抑的储能电站参与电力市场日前-实时运行决策策略模型

利用大M法将决策模型线性化

调用商业优化求解器CPLEX进行求解。算例分析表明所提策略能充分利用储能功率及容量

在降低储能电站能量越限的概率同时提高了储能电站运行经济性。

Abstract

In order to address the operational decision-making strategy of new energy-side energy storage power plant used for fluctuation smoothing to participate in the power market

this paper proposes an application model of new energy-side energy storage power plant for fluctuation smoothing to participate in the electric energy market and the frequency regulation market based on the existing policy of energy storage participation in the power market

with an operational plan formulated at the day-ahead stage

and the operational decision-making of the storage plant optimized at the real-time stage on a rolling basis

taking into account the uncertainty of the demand in the frequency regulation market as well as the impact of the over-limit of the frequency regulation power on the frequency regulation gain of energy storage

and using the new energy power and tariff prediction curve as the input condition. Taking the new energy power and electricity price prediction curves as input conditions

we construct a day-ahead and real-time operation decision-making strategy model for energy storage plant participation in the electricity market that takes into account new energy fluctuation smoothing

linearize the decision model using the big M method and call the commercial optimization solver CPLEX to solve it. Example analysis shows that the proposed strategy can fully utilize the storage power and capacity

and improve the operation economy of the storage plant while reducing the probability of energy overrun.

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references

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