Loss optimization of IEEE 12 bus radial distribution system integration with wind weibull distribution function using PSO technique

A. Bansal, Anil Kumar, Naresh Kumar
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引用次数: 2

Abstract

Due to increasing per capita energy consumption and exponential rising population, power system losses increasingly and reliability decreasing. The distributed generator can improve the power system reliability and reduce losses. The most widely preferred DG which is large attracted by large scale as wind powers do not have pollution issue and consider as clean energy source. By the wind to its maximum extent it is necessary to place the wind turbine at the place where the losses of the system and the size of the turbine are minimum. In this paper the PSO (particle swarm optimization) technique is applied on IEEE 12 radial standard bus system to get reduced losses and optimum size of wind turbine. Backward/forward sweep method used to analyze the power flow in radial distribution systems. Weibull functions F(x) have been used to describe the best wind distribution which is one of the probabilistic modeling to select random variable. From the results optimum size of turbine is obtained and also obtains the location for placement of wind turbine to optimum the system losses. MATLAB/Simulink is used to simulate the optimization of power losses at power output of mean various wind turbine speed.
结合风威布尔分布函数的ieee12总线径向配电系统损耗优化
随着人均能源消耗的增加和人口的指数增长,电力系统的损耗越来越大,可靠性越来越低。分布式发电机可以提高电力系统的可靠性,减少损耗。由于风力发电不存在污染问题,被认为是清洁能源,因此被大规模吸引而被广泛选择的DG。通过最大程度的风力,有必要将风力涡轮机放置在系统损失最小和涡轮机尺寸最小的地方。本文将粒子群优化(PSO)技术应用于ieee12径向标准总线系统,以实现风电机组的最小损耗和最优尺寸。用于分析径向配电系统潮流的后/前扫描法。采用威布尔函数F(x)来描述最佳风分布,这是选择随机变量的概率模型之一。由此得出了风机的最优尺寸,并确定了风机的布置位置,使系统损失达到最优。利用MATLAB/Simulink对风电机组在不同平均转速下的输出功率损失进行了优化仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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