A Coordinated Trading Mode of Wind-Thermal-Pumped Storage Units In Electricity Spot Market and Regulation Market

Xiao Xiong, Ge Zaihui, C. Zhiming, Sun Siyang, Meng Wenchuan
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Abstract

In the process clean and low-carbon power systems construction, an increasing proportion of wind turbines participate in the power market, but the randomness of its output will bring great market risks. To reduce the risks, wind power, thermal power, pumped storage units, and other regulatory facilities would jointly participate in the power market. How these participants obtain more benefits under coordination has become a research focus. This paper proposes a stochastic optimization model for wind-thermal-pumped storage units cooperatively participate in day-ahead power market and frequency modulation(FM) market. In both markets, these participants are required to declare the next-day generation outputs, bidding prices, and the available generation capacity that can be used for frequency modulation. The model considers the statistical characteristics and correlations of wind power outputs between different periods and proposes a scenario reduction method. In addition, the model also introduces a CVaR risk control method for market electricity price, wind generation output, FM mileage and other uncertainties. In addition, the model also introduces the CVaR risk control method for market electricity price, wind power output, FM mileage and other uncertain factors, and simulates the situation of different participants in the market under different risk appetites. The experimental results show that the stochastic optimal bidding strategy with risk control is effective under uncertain conditions.
电现货市场与调控市场下的风热发电机组协调交易模式
在清洁低碳电力系统建设过程中,风电机组参与电力市场的比例越来越大,但其输出的随意性将带来很大的市场风险。为了降低风险,风电、火电、抽水蓄能机组和其他监管设施将共同参与电力市场。这些参与者如何在协调下获得更多的利益已成为研究的焦点。提出了一种协同参与日前电力市场和调频市场的风热蓄能机组随机优化模型。在这两个市场中,这些参与者都需要声明第二天的发电量、投标价格和可用于频率调制的可用发电容量。该模型考虑了不同时期风电输出的统计特征和相关性,提出了一种情景化简方法。此外,模型还引入了针对市场电价、风电出力、调频里程等不确定性因素的CVaR风险控制方法。此外,该模型还引入了针对市场电价、风电输出、调频里程等不确定因素的CVaR风险控制方法,模拟了不同市场参与者在不同风险偏好下的情况。实验结果表明,具有风险控制的随机最优竞价策略在不确定条件下是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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