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Defining Optimal DG Penetration for Minimizing Energy Losses Concerning Repairing Fault Periods

机译:定义最佳DG渗透以最大限度地减少有关修复故障时期的能量损失

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The rapid increase of distributed generations (DGs) has many benefits for distribution systems and could result in some negative effects. Identifying the optimum locations and sizes for these units increases the benefits and limits the negative effects. Many researches tried to define the optimal DG siting and sizing. Either normal operation or faulty conditions have been considered in this process. In this paper, repairing fault periods (RFP) in loop distribution systems is considered in the optimization process. Comprehensive comparisons between results of considering only normal operating periods (NOP) and those considering both NOP and RFP are introduced. The main aim of the proposed methodology is to minimize the energy loss. An actual 15-bus loop distribution system is implemented to represent the case study. Genetic Algorithm (GA) technique is used for solving the objective function. The results show significant effect for RFP on the optimization results. Thus, considering both NOP and RFP is essential for optimal sizing and siting of DG in loop distribution systems.
机译:分布式代代(DGS)的快速增长对分配系统具有许多益处,并且可能导致一些负面影响。识别这些单位的最佳位置和尺寸会增加益处并限制负面影响。许多研究试图定义最佳的DG选址和尺寸。在该过程中考虑了正常操作或故障条件。在本文中,在优化过程中考虑了环路分配系统中的修复故障时段(RFP)。介绍了考虑正常运行期(NOP)和考虑NOP和RFP的结果之间的综合比较。提出方法的主要目的是最大限度地减少能量损失。实施实际的15母线循环分配系统以表示案例研究。遗传算法(GA)技术用于解决目标函数。结果表明RFP对优化结果的显着效果。因此,考虑到NOP和RFP都对于环路分配系统中的DG的最佳施胶和选址是必不可少的。

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