促进调峰的大规模风电调频备用容量动态配置策略

Dynamic Configuration Strategy for Frequency Regulation Reserve Capacity of Large-scale Wind Power for Promoting Peak Load Regulation

针对当前风电调频备用容量长期闲置、未充分服务于电网运行的问题,深化研究大规模风电调频备用容量优化配置方法,对于电网调频能力、风力发电经济性、电网调峰方面均具有重要影响。基于此,研究大规模风电参与一次调频的备用容量优化配置策略。根据日负荷预测曲线,在波峰时段设置较大调频基点功率、波谷时段设置较小基点功率,其他时段按照与波峰负荷比例设置基点功率,从而可在一日各时段配置风电调频动态备用容量;根据确定的各时段动态备用容量,求解基于转速控制或桨距控制一次调频策略的参考转速和参考桨距角,使风电机组在任意风速下(额定风速以上/下)动态调整一次调频备用容量。算例分析结果表明,在大规模风电并网场景中,所提策略不仅能保证电网调频需求,还能有效促进削峰填谷效果和提高风力发电经济性。

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 operation of power grid,the in-depth study on the optimal configuration method for the frequency regulation reserve capacity of large-scale wind power has important impact on the power grid frequency regulation ability,the economy of wind power generation and the peak regulation of power grid.Based on this,the optimal configuration strategy for the reserve capacity of largescale wind power participating in the primary frequency regulation is studied.According to the daily load forecast curve,by setting 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.