基于改进狼群算法的含分布式能源配电网优化重构

Optimal reconfiguration of distribution network with nistributed energy based on improved wolf pack algorithm

为提高含分布式电源配电网运行的经济性和稳定性,以系统网损与节点电压偏差之和最小作为综合目标函数,利用多目标加权法建立以综合目标函数最小的含DG配电网优化重构模型。应用莱维飞行和自适应步长等策略对狼群算法进行改进,减少算法的迭代次数,提高算法的收敛性能。采用改进狼群算法对含DG配电网优化重构模型进行求解,算例分析结果表明,分布式电源的合理接入及配电网重构能够有效减少网络损耗,提高节点电压,验证所提配电网重构方法的正确性和优越性。

In order to improve the economy and stability of distribution network with DG,an optimal reconfiguration model of distribution network with DG is established by using multi-objective weighting method with the minimum sum of system loss and node voltage deviation as the comprehensive objective function.The wolf colony algorithm is improved by using Levy flight and adaptive step size,which reduces the number of iterations and improves the convergence performance of the algorithm.The improved wolf colony algorithm is used to solve the optimization reconfiguration model of distribution network with DG.The analysis results of the example show that the reasonable access of distributed generation and distribution network reconfiguration can effectively reduce the network loss and improve the node voltage,which verifies the correctness and superiority of the distribution network reconfiguration method proposed in this paper.