In this article, a new multiobjective algorithm is proposed for determining the optimal sizing and allocation of the photovoltaic (PV) systems in radial distribution systems. A Jaya algorithm is modified to find the optimal PV capacities for limited bus locations at the network. The proposed algorithm showed better performance against known techniques, and the results are presented. Besides, a new distinguished methodology is improved and developed based on the Jaya Algorithm to find the optimum capacity of each PV system that satisfies an improvement of the voltage profile and reduces power losses under high penetration levels. Also, optimum capacities are determined by considering the connection of the PV systems for all buses along with the network. Furthermore, the proposed method is verified on the standard IEEE-33 bus test system with high penetration rates. Simulation and validation are obtained by MATPOWER and OCTAVE software.

中文翻译：

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优化 PV 尺寸和位置，以减少有功功率损耗，同时使用改进的 Jaya 算法通过改善电压分布实现非常高的渗透水平

在本文中，提出了一种新的多目标算法，用于确定径向配电系统中光伏 (PV) 系统的最佳尺寸和分配。修改 Jaya 算法以找到网络中有限总线位置的最佳 PV 容量。与已知技术相比，所提出的算法表现出更好的性能，并给出了结果。此外，基于 Jaya 算法改进和开发了一种新的独特方法，以找到每个光伏系统的最佳容量，以满足电压分布的改进并减少高渗透水平下的功率损耗。此外，通过考虑所有总线的光伏系统与网络的连接来确定最佳容量。此外，所提出的方法在具有高渗透率的标准 IEEE-33 总线测试系统上得到了验证。通过MATPOWER和OCTAVE软件进行仿真和验证。