面向高比例分布式电源接入的配电网集群划分指标优化和算法改进

Optimization of Distribution Network Cluster Partition Index and Algorithm Improvement for High Proportion Distributed Power Access

由于配电网缺少高效的面向分布式有功潮流最优化问题的集群划分方法,因此优化和改进了基于遗传算法的配电网集群划分策略。首先,考虑到配电网台区终端计算能力有限,以及各集群强度须达标的条件,定义集群划分的节点限制指标,使集群划分结果更加合理。然后,对遗传算法进行改进,提高了遗传算法在解决集群划分问题时的收敛速度,增强了全局寻优能力。最后,在MATLAB仿真平台上对IEEE 33节点系统进行实验,验证了所提出指标的合理性以及改进算法的有效性。

Due to the situation that the distribution network lacks efficient cluster division strategy for the optimization of distributed active power flow,this paper optimizes and improves the distribution network cluster division strategy based on genetic algorithm.First of all,considering the limited computing capacity of the terminal in the distribution network area and the condition that the strength of each cluster must meet the standard,the node limit index of cluster division is defined to make the result of cluster division more reasonable.Then,the mechanism of genetic algorithm is improved,the convergence speed of genetic algorithm is improved,and the global optimization ability is enhanced.Finally,simulations are carried out on IEEE 33 nodes system on MATLAB simulation platform to verify the rationality of the proposed index and the effectiveness of the improved algorithm.