计及新能源波动平抑的储能电站日前-实时运行决策  

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

作　　者：李青春 徐君威 张绍强 张建 张晔 李爱魁 Li Qingchun;Xu Junwei;Zhang Shaoqiang;Zhang Jian;Zhang Ye;Li Aikui(Liaoning Power Trading Center Co.,Ltd.,Shenyang 110006,China;College of Electrical Engineering,Dalian University of Technology,Dalian 116000,China)

机构地区：[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

出　　处：《太阳能学报》2025年第3期43-53,共11页Acta Energiae Solaris Sinica

基　　金：辽宁电力交易中心有限公司科技项目(SGTYHT/21-WT-255)。

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。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 decisionmaking 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.

关 键 词：电池储能 运行成本 约束优化 新型电力系统 

分 类 号：TM73[电气工程—电力系统及自动化]