电力低压系统线损分析与优化研究

Research on Line Loss Analysis and Optimization of Power Low Voltage System

随着电力系统改革的不断深化,需要进一步改进计算线损的准确性方法,并深入研究线损的优化。介绍了2种经典的低压线损计算方法,并进行了基于遗传算法的电力低压线损优化研究,即配电网的重构。首先,在遗传算法中,以线损最小作为目标函数,并构造相应的适应度函数。其次,进行选择、交叉和变异等操作,最终得到最优的结果。最后,通过仿真实验证明这2种方法都能够有效降低线损。

With the continuous deepening of the reform of the power system,it is necessary to further improve the accuracy of calculating line losses and conduct in-depth research on the optimization of line losses.This study introduces two classical methods for calculating low-voltage line losses and conducts optimization research on lowvoltage line losses based on genetic algorithms,namely the reconstruction of distribution networks.In the genetic algorithm,we take the minimum line loss as the objective function and construct the corresponding fitness function.Then,operations such as selection,crossover,and mutation are performed,and the optimal results are obtained.Finally,through simulation experiments,it is demonstrated that both of these methods can effectively reduce line losses.