基于遗传算法的增量式配电网电源容量规划方法

Power Supply Capacity Planning Method of Incremental Power Distribution Network Based on Genetic Algorithm

为保障电力系统稳定运行的需求,解决目前配电网电源容量稳定性差等问题,提出基于遗传算法的增量式配电网电源容量规划方法。首先计算电源的电力负荷,为配电工作打好基础。其次,基于遗传算法控制配电网的节点,进而控制节点的电源容量。最后,构建电源电力容量平衡模型,增强增量式配电网电源容量规划的稳定性。实验结果表明,该方法得出的阈值比传统的配电网电源容量规划方法更加接近系统的平均稳定阈值,具有较为广泛的应用前景。

In order to guarantee the demand of stable operation of power system and solve the current problems such as poor stability of power supply capacity of distribution network,the incremental power supply capacity planning method of distribution network based on genetic algorithm is proposed.Firstly,the power load of the power supply is calculated to lay a good foundation for the distribution work.Secondly,the nodes of the distribution network are controlled based on genetic algorithm,and then the power capacity of the nodes is controlled.Finally,a power supply power capacity balance model is constructed to enhance the stability of the power supply capacity planning of the incremental distribution network.The experimental results show that the threshold value derived from this method is closer to the average stability threshold of the system than the traditional power supply capacity planning method of the distribution network,which has a wider application prospect.