基于蚁狮算法的主动配电网多目标重构优化

Multi-objective Reconfiguration Optimization of Active Distribution Network Based on Ant Lion Optimization Algorithm

提出一种有效的智能蚁狮优化(ALO)算法,用于求解配电网的多目标重构优化问题。问题的主要目标是求解主动配电网系统中最优的网络重构,并确定系统中分布式能源(DG)的大小和位置,从而使网络的损耗最小以及电压的稳定性增强。结合IEEE33总线系统为实际算例进行验证,仿真结果表明,算法能够得到电压分布、功率损耗以及DG的最优位置和规模。这证明ALO算法在主动配电网多目标重构优化领域的有效性,为实际DG的规划配置提供借鉴意义。

In this paper,an efficient intelligent ant lion optimization(ALO)algorithm is proposed to solve the multi-objective reconfiguration optimization problem of distribution network.The main goal of the problem is to solve the optimal network reconfiguration in the active distribution network system,and determine the size and location of the distributed generation(DG)in the system,so as to minimize the loss of the network and enhance the stability of the voltage.Combining the IEEE33 bus system as a practical example to verify,the simulation is carried out,and the results show that the algorithm can obtain the voltage distribution,power loss and the optimal position and scale of DG,which proves the effectiveness of the ALO algorithm in the field of multi-objective reconstruction optimization of active distribution network.It may provide reference for the plan-ning and configuration of actual DG.