首页> 外文会议>IEEE India International Conference on Power Electronics >Optimization of Radial Distribution System Losses With Wind Weibull Distribution Function Integration using PSO and GA technique
【24h】

Optimization of Radial Distribution System Losses With Wind Weibull Distribution Function Integration using PSO and GA technique

机译:利用PSO和GA技术优化径向分布系统损耗的径向分布函数集成

获取原文

摘要

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.
机译:由于人均能源消耗和指数上升人口的增加,电力系统损失越来越多地减少。分布式发电机可以提高电力系统可靠性并减少损耗。随着风力的大规模吸引的最广泛优选的DG没有污染问题并考虑作为清洁能源。在其最大程度的情况下,有必要将风力涡轮机放置在系统的损耗和涡轮机的尺寸最小的地方。在本文中,PSO(粒子群优化)技术应用于IEEE 12径向标准总线系统,以降低损耗和风力涡轮机的最佳尺寸。用于分析径向分配系统中的功率流的后/前扫描方法。 Weibull函数f(x)已被用于描述最佳风分布,这是选择随机变量的概率模型之一。从结果获得最佳涡轮机的最佳尺寸,并且还获得了放置风力涡轮机以最佳系统损耗的位置。 MATLAB / SIMULINK用于模拟电源输出的功率损耗的优化,其各种风力涡轮机速度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号