Nowadays Distribution generation (DG) has achieved to further precious awareness, especially inside the power system fields, so the strength and dependability specifically in the distribution system. Optimum scheduling of DG not only focuses on the size of DG only too puts a load on the optimal location of generators. Install for DG at the optimum location along with optimal size into the distribution system would improve the system performance and also give price effectual solved to the planning of the distribution network. The positive impact of optimum DG position into the distribution system would improve system voltage profile, reduction in line losses, improved power standard, make better reliability and strength of the distribution network. GWO is modeled based on the unique hunt, searching for a target, encircling target, and attacking prey, are executing to perform the optimization. The GWO is determined to the IEEE-16, 30, 57 and 118-bus test systems radial distribution network as well as considering multiplier DG units in the system. The better study outcome of the attained to without DG, with DG, type 1 DG, type 2 DG, with type 3 DG at 0.9 pf and with type DG at unity pf. Moreover, the obtained is compared as well as the net outcome of the proposed procedure for the sequence to see the efficiency and effectual and the distribution systems.

中文翻译：

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用灰狼优化方法规划配电系统

如今，分布式发电（DG）已经获得了进一步的宝贵认识，特别是在电力系统领域，因此在配电系统中尤其具有强度和可靠性。DG 的优化调度不仅关注 DG 的大小，也将负载放在发电机的最佳位置上。将分布式电源安装在最佳位置以及最佳尺寸到配电系统中将提高系统性能，并为配电网络的规划提供有效的价格解决方案。DG 最佳位置进入配电系统的积极影响将改善系统电压分布，减少线损，提高电力标准，提高配电网的可靠性和强度。GWO基于独特的狩猎建模，搜索目标，包围目标，和攻击猎物，正在执行以执行优化。GWO 是针对 IEEE-16、30、57 和 118 总线测试系统径向配电网络以及考虑系统中的乘法器 DG 单元而确定的。无 DG、有 DG、1 型 DG、2 型 DG、3 型 DG 和 DG 型为 0.9 pf 和 DG 型均获得更好的研究结果。此外，将获得的结果以及所提议的程序的净结果进行比较，以查看效率和效果以及分配系统。9 pf 和 DG 型统一 pf。此外，将获得的结果以及所提议的程序的净结果进行比较，以查看效率和效果以及分配系统。9 pf 和 DG 型统一 pf。此外，将获得的结果以及所提议的程序的净结果进行比较，以查看效率和效果以及分配系统。