基于改进鸽群算法的台区三相负荷不平衡相序调整方法

针对低压配电台区三相负荷不平衡现象，研究了一种基于换相开关的负荷相序调整方法。运用负荷不平衡换相控制策略，建立以配电变压器低压侧三相电流不平衡度最小为目标的优化换相数学模型；引入自适应参数和柯西扰动对原始鸽群算法（pigeon-inspired optimization，PIO）进行改进，用改进鸽群算法求解最优换相方案。Matlab仿真验证了改进鸽群优化算法的优越性及其求解优化换相方案的有效性，可以显著降低台区三相负荷的不平衡程度。

Phase Sequence Adjustment Method for Three-Phase Load Imbalance in Station Area Based on Improved Pigeon-inspired Optimization

Aiming at the three-phase load imbalance phenomenon in the low-voltage distribution station area, a method for adjusting the load phase sequence based on commutation switch is studied. The unbalanced load commutation control strategy is used to establish an optimal commutation mathematical model with the goal of minimizing the three-phase current imbalance on the low-voltage side of the distribution transformers; the adaptive parameters and Cauchy disturbance are introduced to improve the original pigeon-inspired optimization (PIO) algorithm. The improved PIO algorithm is used to solve the optimal commutation scheme. Matlab simulation verifies the superiority of the improved PIO algorithm and its effectiveness in solving the optimal commutation scheme, and the the improved PIO algorithm can significantly reduce the imbalance of the three-phase load in the station area.