基于AGC调频分区控制的光储联合系统参与市场投标策略

为充分发挥光储联合系统提供调频辅助服务的能力、提高联合系统的收益，提出了一种基于自动发电控制(automatic generation control,?AGC)调频分区控制的光储联合系统参与市场的投标策略。首先，考虑了光储系统运行特性和电网频率波动不确定性，提出了光储系统参与能量-调频市场的日前-实时两阶段交易方法。其次，提出了光储系统参与AGC的实时调频控制方法，根据区域控制偏差所处控制域动态分配光储系统所承担的调节量。然后，构建了光储联合系统参与电力市场的多时间尺度投标优化模型，其中日前市场考虑了潜在的实时能量偏差，实时市场利用滚动优化方法反馈校正多种不确定因素。最后，通过算例分析验证了该策略在充分考虑电力系统频率安全稳定的前提下，使利润增加了14.9%，显著提高了光储联合系统的收益。

Photovoltaic and storage system participating in the electricity market based on AGC zoning control

To give full play to the ability of a photovoltaic and storage system to provide a frequency regulation service and improve the revenue of the system, a market bidding strategy for such a system based on AGC zoning control is proposed. First, considering the operational characteristics of the photovoltaic and storage system and the uncertainty of grid frequency fluctuation, a day-ahead and real-time two-stage trading method for the system to participate in the energy and frequency regulation market is given. Second, the real-time frequency modulation control method of the photovoltaic storage system participating in AGC is proposed, and the frequency adjustment amount borne by the photovoltaic and storage system is dynamically allocated according to the control domain where the regional control deviation is located. Then, a multi-time scale bidding optimization model for the participation of the system in the market is constructed, in which the day-ahead market considers the potential real-time energy deviation, and the real-time market uses the rolling optimization method to feed back and correct a variety of uncertainties. Finally, through example analysis, it is verified that the strategy increases the profit by 14.9 % under the premise of fully considering the frequency security and stability of the power system, and significantly improves the revenue of the photovoltaic and storage system. This work is supported by the Science and Technology Project of the Headquarter of State Grid Corporation of China: Optimal Configuration and Support Capacity Evaluation of Large-Scale Energy Storage Access Power Systems (No. 5419-202155242A-0-0-00).