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Optimal Placement and Sizing Distributed Wind Generation Using Particle Swarm Optimization in Distribution System

机译:分布系统中使用粒子群优化的最佳放置和尺寸分布式风

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Distributed Generation (DG) is a system of generating electricity from energy sources with small capacity, in this paper DG is generated from wind renewable energy source to reduce fossil fuel usage. DG has several functions such as power loss minimization and voltage profile improvement. In this study, location and size of wind-DG in the modified IEEE 33 bus test system were determined. Optimization procedure to minimize power loss and Voltage Deviation (VD) was formulated. There are two scenarios were simulated, there are one wind-DG and two wind-DG locations. The optimization was simulated using Particle Swarm Optimization (PSO) technique under MATLAB environment. The results were proven that the objective function satisfied. Furthermore, the total losses becomes 2.459 MWh in the first scenario and 2.209 MWh in the second scenario. Maximum VD value is on bus 18 with sample results in low load at 03:00 am and peak load at 07:00 pm, with a value 0.040 pu in the first scenario and 0.032 pu in the second scenario at 03:00 am. Then at 07:00 pm with a VD value 0.042 pu in the first scenario and 0.035 pu in second scenario.
机译:分布式发电(DG)是一种从容量的能量源产生电力的系统,本文从风可再生能源产生,以减少化石燃料的使用。 DG具有多种功能,如电源损耗最小化和电压型材改进。在该研究中,确定了改进的IEEE 33总线测试系统中风力DG的位置和大小。制定了最小化功率损耗和电压偏差(VD)的优化过程。模拟有两种情况,有一个风力DG和两个风力DG位置。在Matlab环境下使用粒子群优化(PSO)技术模拟了优化。结果证明了目标函数满足。此外,第二场景中的第一场景中的总损失为2.459兆瓦。最大VD值是在总线18上,样品在03:00 AM和07:00 PM的峰值负载下降,在第一个场景中的值0.040 PU和0.032 PU在03:00的第二种情况下。然后在第一个场景中的VD值0.042 PU的07:00 PM,第二种情况下为0.035 PU。

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