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Power Quality Improvement of Distribution System by Optimal Placement of Distributed Generators Using GA and NN

机译:使用GA和NN的分布式发电机的最佳放置电力质量改善

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Distributed generator (DG) is now commonly used in distribution system to reduce total power loss and to improve the power quality of the network. The major task of connecting DG units is to identify their optimal placement in the system and to evaluate the amount of power to be generated in the DG. By considering this objective, a hybrid technique using Genetic algorithm and Neural-network is proposed in this paper. By placing DGs at optimal locations and by evaluating generating power based on the load requirement, the total power loss in the system can be minimized without affecting the voltage stability of the buses. Due to reduction of total power loss in the system and improvement of bus voltages, the power quality of the system increases. The results show the improved performance of proposed method for different number of DGs connected in the system.
机译:分布式发电机(DG)现在通常用于分销系统,以减少总功率损耗,并提高网络的电能质量。连接DG单位的主要任务是在系统中识别其最佳放置,并评估在DG中产生的电力量。通过考虑该目的,本文提出了一种使用遗传算法和神经网络的混合技术。通过在最佳位置处放置DGS并通过基于负载要求进行评估,系统中的总功率损耗可以最小化而不会影响总线的电压稳定性。由于系统中总功率损耗的降低和总线电压的提高,系统的电能质量增加。结果显示了在系统中连接的不同数量DG的方法的提高性能。

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