开Y-开△变压器相序调整的蚁群优化方法及收敛性研究

在配电系统中，相序不平衡是引起线路损失和接地保护跳脱的主要原因之一。开Y-开△变压器（open Y—open delta，OYOD）能大幅度减小变压器成本而同时供应三相与单相负载，但存在严重的相序不平衡问题。针对OYOD变压器相序调整是一个组合非线性及不能微分目标函数的最优化问题，提出用蚁群算法来求解OYOD变压器的相序调整问题，以提高负载平衡能力，同时提出一种变信息素挥发系数的方法以提高算法解的质量和收敛速度。经测试结果显示，所提出的方法能对OYOD变压器相序调整提出一个最佳的解决方法。

ACS-Based Algorithm and its Convergence for Open Y-Open Delta Transformer's Phase Sequence Adjustment

Phase unbalance is one of the prime reasons to cause extra line lose and ground current relay trip in distribution systems.The open Y-open delta transformer can serve as both three-phase and single-phase loads and then can obtain more economical for transformer cost management,but it also achieves the severe phase unbalance problem.The formulation of OYOD transformer's phase sequence adjustment is a combinatorial optimization problem with non-linear and non-differential objective function.A cooperative agent algorithm,the ant colony system for OYOD transformer's phase sequence adjustment is proposed.In the algorithms,global searching and convergence abilities are improved by changing the pheromone trails evaporation parameters.Test results shown that the proposed algorithm can offer an optimum solution for OYOD transformer's phase sequence adjustment.