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

被引:0
作者
Zhao Z. [1 ]
Liu Y. [1 ]
Guo L. [1 ]
Wang C. [1 ]
机构
[1] Key Laboratory of the Ministry of Education on Smart Power Grids, Tianjin University, Tianjin
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 08期
基金
中国国家自然科学基金;
关键词
bidding decision-making; energy storage; price maker; residual demand curve; uncertainty; wind power;
D O I
10.7500/AEPS20220421004
中图分类号
学科分类号
摘要
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 decision-making 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. © 2023 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:99 / 108
页数:9
相关论文
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