基于剩余需求曲线的风电-储能一体化电站投标决策方法  

Bidding Decision-making Method of Wind Power-Energy Storage Integrated Station Based on Residual Demand Curve

作　　者：赵宗政 刘一欣[1] 郭力[1] 王成山[1] ZHAO Zongzheng;LIU Yixin;GUO Li;WANG Chengshan(Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University),Tianjin 300072,China)

机构地区：[1]智能电网教育部重点实验室(天津大学),天津市300072

出　　处：《电力系统自动化》2023年第8期99-108,共10页Automation of Electric Power Systems

基　　金：国家重点研发计划资助项目(2020YFE0200400);国家自然科学基金资助项目(51907140)。

摘　　要：针对风电-储能一体化电站(简称风储电站)在日前电能量和备用市场中同时作为价格决定者的投标问题,提出了一种基于剩余需求曲线的电量-备用联合投标决策方法。首先,考虑储能系统运行约束以及电能量-备用市场的耦合关系,在风储电站日前投标范围内生成电量-备用的可行投标组合,基于神经网络预测计算对应的市场出清电价,提出了电能量和备用市场中剩余需求曲线的联合建模方法。然后,建立了用于开展日前电量-备用联合投标的随机优化决策模型,以风储电站收益期望最大为目标调整储能系统的日前出力计划和备用容量,同时考虑实时市场的不确定性,通过调用储能系统的备用容量降低风储电站的实时偏差惩罚。最后,通过算例仿真验证了所提投标决策方法的有效性。Aiming at the bidding problem of wind power-energy storage integrated stations(referred to as wind-storage station)serving as an price-maker in the day-ahead energy market and reserve market,an electric quantity-reserve joint bidding decisionmaking method based on residual demand curve is proposed.Firstly,the feasible electric quantity-reserve bidding pairs are generated within the scope of day-ahead bidding of the wind-storage station,considering the operation constraints of the energy storage system as well as the coupling relationship between the electric quantity and the reserve market.The corresponding market clearing price is forecasted and calculated based on neural network.The joint modelling method of residual demand curve is proposed for the electric quantity and reserve market.Secondly,a stochastic optimization decision-making model is established for joint bidding in both day-ahead electric quantity and reserve.The day-ahead output power schemes and reserve capacity of the energy storage system are adjusted with the goal of maximizing the income expectation of the wind-storage station.At the same time,the real-time deviation penalty of wind-storage station can be reduced by dispatching the reserve capacity of the energy storage system while considering the uncertainty of the real-time market.Finally,the effectiveness of the proposed bidding decision-making method is verified by numerical simulation.

关 键 词：风电 储能 投标决策 剩余需求曲线 价格决定者 不确定性 

分 类 号：TM73[电气工程—电力系统及自动化]