适应负荷速变的TCT式可控电抗器控制方法

Control Strategy of Thyristor Controlled Transformer for Applying to Fast Changing Loads

针对负荷快速变化时无功功率的补偿问题,提出一种TCT式可控电抗器优化控制方法,首先分析了晶闸管触发角与补偿后功率因数、三相不平衡、谐波畸变率之间的关系,然后利用遗传算法寻找一组最优触发角来控制无功补偿装置,使得补偿效果最佳,最后利用BP神经网络对结果进行训练,建立了负荷功率与触发角之间的映射。仿真结果表明,该方法具有较高的效率,能够快速补偿功率因数和三相不平衡,同时可有效降低线路的谐波电流含量,尤其适用于负荷快速波动的场合。

In order to compensate the reactive power of fast changing loads,this paper proposed an optimal control strategy of TCT.Firstly,the relationship between the trigger angles and the power quality indexes were determined.Then genetic algorithm was used to find the optimal trigger angles to control TCT,which results to the best compensation effect.Finally,BP neural network is used to train the results,establishing a mapping between the load power and the triggering angles.Calculation results of case studies show that the proposed method is effective and feasible.This control strategy can compensate the power factor and three-phase imbalance and restrain the harmonics that the compensation device generates itself as well.Especially,the method is suitable for the fast changing loads.