首页> 外文会议>International Conference on Electrical, Electronics, and Optimization Techniques >MSFL based determination of optimal size and location of distributed generation in radial distribution system
【24h】

MSFL based determination of optimal size and location of distributed generation in radial distribution system

机译:基于MSFL的径向分布系统中分布式发电的最佳大小和位置的确定

获取原文

摘要

Loss reduction is one of the prime objectives for distributed generation placement in distribution network. To maximize the DG benefits, optimal placement of each DG is most important as DG benefits are site and size specific. The aim of this work is to minimize the active power loss and to improve voltage profile of overall system by optimal sizing and sitting of multiple DGs. To find out the optimal size and site two different optimization techniques -namely Teaching-learning based optimization (TLBO) algorithm and Modified shuffled frog leaping algorithm (MSFL) are used. The method has been tested with IEEE standard 33-node radial distribution network and the results obtained by two different algorithms are compared with each other.
机译:降低损耗是配电网络中分布式发电布置的主要目标之一。为了最大程度地发挥DG的好处,每个DG的最佳放置最为重要,因为DG的好处是特定于地点和规模的。这项工作的目的是通过优化多个DG的大小和放置来最大程度地减少有功功率损耗并改善整个系统的电压曲线。为了找出最佳大小和站点,使用了两种不同的优化技术,即基于教学的优化(TLBO)算法和改进的改组蛙跳算法(MSFL)。该方法已通过IEEE标准的33节点径向分布网络进行了测试,并将通过两种不同算法获得的结果进行了比较。

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