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Optimal placement of DG Units and Network Reconfiguration for Power Loss Minimization and Voltage Profile Improvement in Distribution Network

机译:DG单位的最佳放置和用于电力损耗最小化和电压配置的网络重新配置

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This paper address an effective intelligent computational algorithm of Ant Lion Optimizer (ALO) is applied for solving reconfiguration problem in a Radial Distribution System (RDS). The proposed ALO method inspired by imitates the hunting apparatus of ant lions in nature. The prime objective of the problem is identifying optimal network reconfiguration simultaneously with DC allocation and sizing for power loss minimization and voltage stability enhancement in a Radial Distribution System. Numerical example with IEEE 33-bus system is considered to validate the performance of ALO. The simulation results of voltage profile, power loss, optimal location and size of DG are numerically and graphically presented. The proposed ALO approach effectively minimizes the power loss and enhances the voltage stability of RDS. The assessment of solutions in MATLAB software shows the usefulness of the ALO in the distribution network. It is observed that the proposed method performed well compared to the other available methods in literature.
机译:本文涉及蚂蚁优化器(ALO)的有效智能计算算法,用于解决径向分布系统(RDS)中的重新配置问题。所提出的ALO方法受到了抗狮子的捕获装置的影响。问题的主要目的是通过直流分配和径向分布系统中的功率损耗最小化和电压稳定增强来识别最佳网络重新配置。具有IEEE 33-Bus系统的数值示例被认为验证ALO的性能。数值和图形呈现电压曲线,功率损耗,最佳位置和大小的仿真结果。所提出的ALO方法有效地减少了功率损耗并提高了RDS的电压稳定性。 MATLAB软件解决方案的评估显示了分销网络中ALO的有用性。观察到,与文献中的其他可用方法相比,所提出的方法良好地进行了良好。

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