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The simultaneous application of optimum network reconfiguration and distributed generation sizing using PSO for power loss reduction

机译:使用PSO降低功耗的同时优化网络重新配置和分布式发电规模的同时应用

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摘要

The utilization of Distributed Generation (DG) sources in Distribution Power system is indeed vital as it is capable of solving problems especially pertaining to power losses due to an increasing demand for electrical energy.The location and optimal size of DG has become a prominent issue for the network to have lower power losses value. In order to reduce unnecessary power losses, the use of a combination reconfiguration method and DG units can assist the system to obtain optimal power loss in the network distribution. The primary idea is to have the reconfiguration process embedded with Distributed Generation (DG) and being operated simultaneously to reduce power losses and determine the optimal size of DG by using Particle Swarm Optimization (PSO). The objective of this paper is to focus on reducing the real power losses in the system as well as improving the voltage profile while fulfilling distribution constraints. The simulation results show that the use of simultaneous approach has resulted the lower power losses and better voltage profile of the system. A detail performance analysis is carried out on IEEE 33-bus systems demonstrate the effectiveness of the proposed methodology.
机译:分布式电源(DG)在配电系统中的使用确实至关重要,因为它能够解决因电能需求增加而导致的功率损耗等问题.DG的位置和最佳尺寸已成为一个突出的问题网络具有较低的功率损耗值。为了减少不必要的功率损耗,使用组合重新配置方法和DG单元可以帮助系统在网络分布中获得最佳功率损耗。主要思想是使重新配置过程嵌入到分布式发电(DG)中,并同时运行以减少功率损耗并通过使用粒子群优化(PSO)确定DG的最佳大小。本文的目标是着重于减少系统中的实际功率损耗以及在满足配电约束的同时改善电压分布。仿真结果表明,同时使用方法可以降低系统的功率损耗和电压分布。在IEEE 33总线系统上进行的详细性能分析证明了所提出方法的有效性。

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