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DG Placement and Sizing in Radial Distribution Network Using PSO&HBMO Algorithms

机译:使用PSO和HBMO算法在径向配电网中DG的放置和大小调整

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Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. Many researchers have used evolutionary methods for finding the optimal DG placement and sizing. This paper proposes a hybrid algorithm PSO&HBMO for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total power loss and improve the voltage profile. The proposed method is tested on a standard 13 bus radial distribution system and simulation results carried out using MATLAB software. The simulation results indicate that PSO&HBMO method can obtain better results than the simple heuristic search method and PSO algorithm. The method has a potential to be a tool for identifying the best location and rating of a DG to be installed for improving voltage profile and line losses reduction in an electrical power system. Moreover, current reduction is obtained in distribution system.
机译:配电网中DG的优化布置和尺寸确定是具有连续变量和离散变量的优化问题。许多研究人员已使用进化方法来找到最佳的DG位置和尺寸。本文提出了一种混合算法PSO&HBMO,用于径向分布系统中分布式发电(DG)的最佳放置和大小确定,以最大程度地减少总功率损耗并改善电压分布。该方法在标准的13总线径向分配系统上进行了测试,并使用MATLAB软件进行了仿真结果。仿真结果表明,与简单的启发式搜索方法和PSO算法相比,PSO&HBMO方法可以获得更好的效果。该方法有可能成为一种工具,用于识别要安装的DG的最佳位置和额定值,以改善电力系统中的电压曲线并降低线损。此外,在配电系统中获得了电流减少。

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