改进蚁群算法在配电网故障区段定位中的应用

Application of the Improved Ant Colony Algorithm to Distribution Network Fault Location

蚁群算法在配电网的故障定位中有良好的应用效果,但是蚁群算法搜索时间过长,计算速度缓慢,易于陷入局部收敛。对蚁群算法进行改进,采用动态参数设置新的动态初始信息素,构造新的局部更新函数,为避免算法陷入局部最优引入扰动规则。经过算例证明,改进后的蚁群算法适用于配电网的单点故障和多点故障,有很好的搜索速度和容错能力。

Ant colony algorithm in the application of detecting the fault location of distribution network showed a good performance.However,the time consumption of the ant colony algorithm for searching is high.Besides,the calculation speed is slow and the calculation may go into local convergence.These drawbacks limited the ant colony algorithm from larger scale applications.Therefore ,it needs to be improved.In this paper,dynamic parameter is introduced to modify initial pheromones.So that a new local update function is constructed.The disturbance rule is introduced to avoid the calculation going into local optimal.The improved ant colony algorithm has higher calculation speed and error tolerance comparing to the original method.It is capable to be used in the fault location detection of both single and muhiple point fault,verified by results of calculation example.