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Application of Particle Swarm Optimization for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction in Distribution Network

机译:粒子群优化在最佳分布发电分配中的应用在分布网络中降低电压曲线改进和线路损耗

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Distributed Generation (DG) had created a challenge and an opportunity for developing various novel technologies in power generation. The rate and size of DG implementation have o be determined. The increasing need of electricity and establishing powerhouses, as well as to spend a great amount of time to build powerhouses, indicate the necessity of distributed generation in small size and close to the consumer location. In this study, selecting a part of Tehran network, attempts to investigate the effects of distributed generation on line losses and voltage profile using PSO. The introduction of PSO based DG in a distribution system offers several benefits: Significant voltage profile improvement, Considerable line loss reduction, Improves system reliability and etc. The optimum value of the DG, also obtained increases the maximum load ability of the system. The proposed method is tested on a system and the results of the simulation carried out will be given. Finally the results are compared to system without installation DG. The method has a potential to be a tool for identifying the best location and rating a DG to be installed for improving voltage profile and reduce losses.
机译:分布式发电(DG)为发展发电中的各种新型技术创造了挑战和机会。 DG实现的速率和大小得到O确定。越来越多的电力和建立动力枢纽,以及花费大量时间来建造动力枢纽,表明在小尺寸和靠近消费者位置的分布发电的必要性。在本研究中,选择德黑兰网络的一部分,试图研究使用PSO对线损耗和电压曲线上的分布式发电的影响。基于PSO的DG在分配系统中提供了多种优点:显着的电压曲线提高,减少相当大的线路损失,提高了系统可靠性等。DG的最佳值也增加了系统的最大负载能力。所提出的方法在系统上进行测试,并且将给出进行的模拟结果。最后,结果与没有安装DG的系统进行比较。该方法具有用于识别要安装的最佳位置和评级DG的工具,以便安装用于改善电压分布并减少损耗。

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