摘要
目前并网发电的风电场越来越多,而风电就地消纳能力和电网输送能力有限,很多地区弃风现场严重。而风电场参与调峰的时段越来越多,风电场频繁的对风机进行启停机或变桨、调转速等,加大了风机发生故障的概率。文章根据风机运行历史数据,计算各风机的健康度(健康度越高,代表风机发生故障的可能性越小),在进行有功控制调节时,优先让健康度高的风机参与调节,实验表明,该算法可明显减少风机因参与限电引起的故障率,降低故障次数,有效确保风机正常运行。
At present, there are more and more wind farms connected to the grid, but the local absorption capacity of wind power and the transmission capacity of the grid are limited, and the abandoned wind field is serious in many areas. More and morewind farms take part in peak shaving. Wind farms frequently start and stop the wind turbine or adjust the rotor speed, which increases the probability of wind turbine failure. Based on the historical data of fan operation, this paper calculates the health degreeof each fan （the higher the health degree, the smaller the possibility of failure of the fan）. When the active power control regulationis carried out, priority is given to the fan with high health degree to participate in the regulation. The experiment shows that. Thealgorithm can obviously reduce the fault rate caused by the participation of the fan in the power limit, reduce the number of faults,and effectively ensure the normal operation of the fan.
出处
《科技创新与应用》
2018年第29期138-139,共2页
Technology Innovation and Application
