近年来电力系统一直在不断更新和改革与此同时计算线损的技术也在不断提升。本研究介绍了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。在遗传算法中我们以线损最小作为目标函数并构造相应的适应度函数。然后进行选择、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。将上面那段话翻译成一个英文摘要

In recent years, the power system has been continuously updated and reformed, and at the same time, the technology for calculating line losses has also been continuously improved. This study introduces two classical methods for calculating low-voltage line losses and conducts optimization research on low-voltage 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