Multi-time Scale Reactive Power And Voltage Control Strategy For Wind Farms Cluster

China's wind power grid-connected points are mostly at the end of the grid,and large-scale long-distance development mode reduces the adaptability of grid voltage to wind power uncertainty.Therefore,how to coordinate different types of reactive power compensation equipment and establish an effective and reasonable reactive voltage control strategy needs to be studied.In order to overcome the shortcomings of the existing reactive power control strategy,this paper comprehensively uses the day-ahead and ultra-short-term wind power forecast data to establish a multi-time scale wind farm cluster reactive power optimization strategy.Firstly,the reactive power compensation equipment commonly used in wind farms is analyzed.The PV curves and PQ curves of different active powers are simulated.At the same time,referring to the load classification idea,the voltage fluctuation curve and the wind power output curve are decomposed into two categories,and the principle of reactive compensation configuration of different types of reactive power compensation equipment is expounded.Secondly,through the intelligent segmentation of the wind power output prediction curve,the optimal switching time of the discrete equipment is determined.Then,the continuous reactive power compensation value of each discrete device corresponding to the wind power prediction time point is solved,and then the voltage deviation is used as the weight to realize the optimal configuration of the discrete reactive power compensation device.Finally,a two-layer intraday reactive power optimization model is established,including static optimization model and segmented dynamic optimization model.The first model is based on the day-ahead forecast data,and solves the compensation amount of the dynamic reactive power compensation device with a single time section in the day.The second one is based on the segmentation result of the active power fluctuation curve of the aggregation station.Combined with the day-ahead and short-term wind power output prediction data,the segmented intraday optimal configuration of the dynamic reactive power compensation device is realized.At the end of the paper,a wind farm is taken as an example.In the MATLAB software,the original dual interior point method is used to analyze and verify the optimization model proposed in this paper.By comparing different strategies'control effects,the effectiveness and superiority of the proposed strategy are verified.