首页> 外文会议>International Conference on Electrical and Electronics Engineering >Optimal capacitor placement in radial distribution system using genetic algorithm method
【24h】

Optimal capacitor placement in radial distribution system using genetic algorithm method

机译:基于遗传算法的径向配电系统电容器优化布置

获取原文

摘要

Generated Power in power stations are passed through large and complex Transmission and Distribution networks' equipment such as transformers, overhead lines, cables, etc. and reaches at the end users. Due to inductive loads in the power system the unit of electric energy generated by power station does not match with the units distributed to the consumers. Some percentage of the units is lost in the network. The largest part of this loss is “Distribution network losses”. Capacitor placement is the most practical method to reduce Losses. It also improves power factor and voltage profiles. Important point in optimal capacitor installation is finding sizes, location and the number of capacitors that have to be placed on the network. This paper presents an approach for optimal placement of capacitor banks in a radial network for the purpose of economic minimization of loss and enhancement of voltage with Genetic Algorithm.
机译:发电厂中的发电功率通过大型,复杂的输配电网络的设备(例如变压器,架空线,电缆等)传递,并到达最终用户。由于电力系统中的感性负载,发电站产生的电能单位与分配给用户的单位不匹配。网络中丢失了一定比例的单位。这种损失的最大部分是“配电网络损失”。电容器放置是减少损耗的最实用方法。它还可以改善功率因数和电压曲线。最佳电容器安装的重点是确定必须放置在网络上的电容器的尺寸,位置和数量。本文提出了一种在径向网络中优化电容器组的方法,目的是通过遗传算法经济地最小化损耗并提高电压。

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