基于MFOA的输电线雷击定位算法研究

Study on the Transmission Line Lightning Location Algorithm Based on MFOA

针对现有的输电线雷电定位迭代算法收敛效果受初始值影响大的问题,提出了一种基于改进果蝇优化算法(Modified Fruit Fly Optimization Algorithm,MFOA)的输电线雷击定位算法。该算法对果蝇优化算法(FOA)进行改进,使其能够较好的收敛到全局最优解。然后基于FOA不断缩小检测位置与雷击位置之间距离的误差,从而实现输电线雷击定位,得到雷击点坐标。最终对基于MFOA的输电线雷击定位算法进行仿真验证的结果证明,该算法能够较好地收敛到全局最优解,并具有定位准确、速度快的优点。

According to the problem of that the existing transmission line lightning location algorithm convergence effect is influenced by initial value large,a transmission line lightning location algorithm based on improved modified fruit fly optimization algorithm（ MFOA） is proposed. The algorithm improved fruit fly optimization algorithm,so that it can better convergence to the global optimal solution. Then based on the FOA shrinking between detection position and lightning position distance error so as to realize the transmission line lightning location,get the lightning point coordinates. Finally,MFOA transmission line lightning location algorithm is simulated,the results show that the algorithm is able to converge to the global optimal solution,and has the advantages of accurate positioning and fast speed.