考虑风机排序的风电集群分层有功控制策略

随着我国风电的迅速发展,风电场有功调控趋于集群化。为合理调控风电集群有功功率、提高风电消纳量、减少风电机组调控次数,文中提出考虑风机排序控制的风电集群分层有功控制策略。根据风电场所在区域不同并结合超短期风电功率预测,将风电集群分为场群层、风电场层、机组层3个控制层。场群层和风电场层通过不同时间尺度的滚动优化提高风电消纳量;机组层通过选取影响风机调控能力的评价指标,结合熵值法与隶属度函数,计算并排序各机组调控能力评分,通过机组的排序控制减少风机调控次数。基于GAMS及Matlab平台对山西电网实际风电场数据进行分析,结果表明所提控制策略在提高风电消纳量的同时减少了风机调控次数。

Hierarchical active control of wind power cluster considering ordered wind turbines

As wind power industry develops rapidly, the control strategy for active power of wind farms tends to be regional. In order to regulate reasonably the active power of wind powercluster and increase the amount of wind power accommodation for reducing the number of wind turbines, a stratified active power control strategy for wind power cluster considering ordered wind turbines is proposed. Firstly, according to the location of wind farms and ultrashort term prediction of wind power, the wind power of regions are divided into three control layers, namely wind farm group layer, wind farm layer and wind turbine layer. The wind farm group layer and wind farm layer are optimized to increase the accommodation of wind power by rolling optimization at different time scales. The wind turbine level calculates and ranks the control capacity scores of each turbine by selecting the evaluation indexes that affect the control ability of the wind turbines, combining the entropy method and the membership function. In this way, the number of control times of the wind turbines is reduced. Finally, the data of actual wind farms in Shanxi power grid are used to analyze by GAMS and Matlab platform. The results show that the proposed control strategy reduces the number of wind turbine control times while improving the wind power accommodation.