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Optimizing DG penetration in distribution networks concerning protection schemes and technical impact

机译:优化配电网中有关保护方案和技术影响的危险品渗透

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Distributed generators (DGs) provide many benefits for distribution networks, however they increase the fault current level and cause miscoordination between the protective devices. This paper presents a framework to determine the optimal locations and permissible capacity limits of inserting DGs in the distribution system using the genetic algorithm (GA). A multi-objective function is developed based on the overall maximum capacity of DGs, voltage enhancement, power loss reduction, and fault current level. The optimization process considers the voltage level and protective-devices coordination as two main constraints. The coordination constraint including fuse-recloser and recloser-relay schemes is added to the multi-objective function in an augmented fitness function. Furthermore, the effects of modifying the setting of overcurrent relay on the DGs capacity are investigated. The proposed framework has been implemented on a typical 11 kV overhead distribution feeder. The results show the possibility of integrating large DGs and achieving considerable loss reduction, voltage profile improvement and fault current reduction without replacing the existing protection systems. (C) 2015 Elsevier B.V. All rights reserved.
机译:分布式发电机(DG)为配电网络提供了许多好处,但是它们会增加故障电流水平并导致保护设备之间的配位不当。本文提出了一种使用遗传算法(GA)来确定在配电系统中插入DG的最佳位置和允许容量限制的框架。基于DG的总体最大容量,电压增强,功率损耗降低和故障电流水平,开发了多目标功能。优化过程将电压水平和保护设备协调视为两个主要约束。包含保险丝-重合器和重合器-继电器方案的协调约束被添加到增强适应性函数中的多目标函数中。此外,研究了修改过电流继电器设置对DGs容量的影响。拟议的框架已在典型的11 kV架空配电馈线上实施。结果表明,在不更换现有保护系统的情况下,集成大型DG并实现可观的损耗降低,电压分布改善和故障电流降低的可能性。 (C)2015 Elsevier B.V.保留所有权利。

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