The optimal placement and the sizing of various distribution system components have gained extra significance in the recent past as the concepts of smarter distribution systems, distributed generation, and microgrids blossomed. This paper presents two novel techniques for sizing the Distributed Generators (DGs) in a large-sized radial distribution network. The primary strategy is proposed by considering the bi-directional progression of current in the parts of the circuit that occurs because of the presence of newly installed DGs. The subsequent strategy utilizes the active power sensitivity calculations for sizing the DGs. These strategies are applied on the chosen radial distribution systems to size numerous DGs all at once, with the main objective being the improvement of efficiency, by accomplishing minimization of losses and improvement in nodal voltages. Then, the maximum number of self-adequate and highly reliable microgrids is formed in the distribution network utilizing the “Reverse Current Flow” procedure cited in the literature, for the proposed sizing methods. Finally, a sensitivity analysis is performed by varying the rates of infiltration of the DGs to throw light on the suitability of the newly introduced methods of sizing. This analysis gives a set of operational rules for the controller of the smart grid.

近年来，随着智能配电系统、分布式发电和微电网等概念的蓬勃发展，各种配电系统组件的最佳布置和尺寸设计变得尤为重要。本文介绍了在大型径向配电网络中确定分布式发电机 (DG) 大小的两种新技术。主要策略是通过考虑由于新安装的 DG 的存在而发生的电路部分中电流的双向进展而提出的。后续策略利用有功功率灵敏度计算来确定 DG 的大小。这些策略应用于选定的径向分配系统，以一次确定多个 DG 的大小，主要目标是提高效率，通过实现损耗的最小化和节点电压的改善。然后，利用文献中引用的“反向电流”程序在配电网络中形成最大数量的自给自足和高度可靠的微电网，用于建议的选型方法。最后，通过改变 DG 的渗透率来进行敏感性分析，以揭示新引入的分级方法的适用性。该分析为智能电网的控制器提供了一套操作规则。通过改变 DG 的渗透率进行敏感性分析，以了解新引入的分级方法的适用性。该分析为智能电网的控制器提供了一套操作规则。通过改变 DG 的渗透率进行敏感性分析，以了解新引入的分级方法的适用性。该分析为智能电网的控制器提供了一套操作规则。