1.三峡大学电气与新能源学院，湖北省宜昌市 443002;2.梯级水电站运行与控制湖北省重点实验室（三峡大学），湖北省宜昌市 443002
1.College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China;2.Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (China Three Gorges University), Yichang 443002, China
In view of the problem that the frequency regulation reserve capacity of wind power is idle for a long time and does not fully serve the power grid operation, the in-depth study on the optimal configuration method for the frequency regulation reserve capacity of large-scale wind power has important impact on ensuring the power grid frequency regulation ability, improving the economy of wind power generation and promoting the peak regulation of power grid. Based on this, the optimal configuration strategy for the reserve capacity of large-scale wind power participating in the primary frequency regulation is studied. According to the forecasted daily load curve, by setting a larger frequency regulation base point power in the peak period, smaller base point power in the valley period, and base point power in other periods in proportion to the peak load, the dynamic reserve capacity of wind power frequency regulation can be configured in each period of one day. According to the determined dynamic reserve capacity in each period, the reference speed and reference pitch angle are solved based on the primary frequency regulation strategy of speed control or pitch control, so that the wind turbine unit can dynamically adjust the reserve capacity of primary frequency regulation at any wind speed (greater or lower than the rated wind speed). The results show that the proposed strategy can not only meet the demand of grid frequency regulation, but also effectively promote the effect of peak shaving and valley filling and improve the economy of wind power generation in the scenario of large-scale wind power integration.
LI Shichun, TU Jie, SHU Zhengyu, et al. Dynamic Configuration Strategy for Frequency Regulation Reserve Capacity of Large-scale Wind Power for Promoting Peak Load Regulation[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200313007.