基于遗传算法的风电场无功补偿及控制方法的研究

RESEARCHES ON THE COMPENSATION AND CONTROL OF REACTIVE POWER FOR WIND FARMS BASED ON GENETIC ALGORITHM

为了解决风电场并网运行存在的电压稳定问题,提出了应用遗传算法确定风电场并网点处无功补偿电容器的分组和控制方法。该方法考虑了风速和负荷变化对风电场输出有功功率和无功功率的影响,对风电场节点的处理较准确地反映了其无功和电压特性。对某实际风电场的无功补偿优化结果表明:应用遗传算法求解电容器的分组和控制规则,可实现全局寻优,减少计算量,且计算量减少,无功补偿的总容量和分组容量计算准确,在求得的无功补偿值下,可使风电场母线电压在允许范围内,保证风电场正常运行,并且电容器动作次数最少。

In order to solve the problem of voltage stability which exits in wind farms, a computing method that applying Genetic Algorithm (GA) to determine the grouping and control method of capacitors that locate on the parallel point with power systems is given. This method considered the influence of wind speed and load on active power output and reactive power output of wind farms. The processing of the wind farm node reflects its character accurately. The calculation result that using this computing method to determine the grouping and control method of capacitors for an actual wind power plant indicated that this method can realize the global optimization, the terminate rule of iteration reduced the calculation work. With the computing result, the voltage of wind farms can be restricted within regular range, ensuring the normal operation of wind farms, at the same time making the action times of capacitors to be minimum.