针对单一风速预测方法预测精度不高,以及按风速比例进行风电场机组功率分配时,跟踪功率调度指令误差较大的问题,提出一种组合风速预测方法,并基于机组预测风速、当前风速及输出功率的机组分类,提出一种风电场有功功率分配方法。采用模糊C均值分类方法对机组进行分类,根据分类结果确定功率调节优先级,将功率指令分配到不同类机组,再按某一类各机组输出功率的比例分配至每台机组,实现整个风电场有功功率分配。以某风电场实际风速数据进行风速预测和有功功率分配仿真研究,仿真结果表明,该文提出的组合风速预测方法和风电场有功功率分配方法具有风速预测精度高、风电场输出功率跟踪精度高,参与有功功率调节的机组数目少的优点。
Abstract
Aiming at the problems of low prediction accuracy of single wind speed prediction method and large error of tracking power dispatching instruction when power distribution of wind farm units is carried out according to wind speed ratio, a combined wind speed prediction method is proposed. Based on the unit classification of the predicted wind speed, current wind speed and output power, a method of active power distribution for wind farms is proposed. The fuzzy C-means classification method is used to classify the units. The power regulation priority is determined according to the classification results. The power instructions are allocated to different types of units, and then allocated to each unit according to the proportion of the output power of each unit of a certain class, so as to realize the active power distribution of the whole wind farm. Wind speed prediction and active power distribution simulation research are carried out based on actual wind speed data of a wind farm. The simulation results show that the combined wind speed prediction method and active power distribution method proposed in this paper have the advantages of high wind speed prediction accuracy, high output power tracking accuracy and small number of units involved in active power regulation.
关键词
风电场 /
有功功率 /
风电机组分类 /
实时风速
Key words
wind farm /
active power /
wind turbine classification /
real time wind speed
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基金
自然科学专项（JK725); 陕西省重点研发计划（2021GY—106）
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