首页> 外文会议>Innovations in Power and Advanced Computing Technologies >Multiple DG allocation in radial distribution system using opposition based chaotic differential evolution technique
【24h】

Multiple DG allocation in radial distribution system using opposition based chaotic differential evolution technique

机译:径向分配系统中基于对立的混沌微分进化技术的多重DG分配

获取原文

摘要

Integration of Distributed Generators (DG) in radial distribution system is one of the important and challenging works in the power system. Optimal allocation of DGs in the network system leads to the minimization of the overall distribution power loss as well as the improvement of the voltage profile. The main objective of this work is to minimize the total active power loss by strategically selecting the optimal sizes of DGs and its optimal locations in the system. Operating power factor of different types of DG may be different, so the power factor is also considered for the case studies. To minimize the objective function, opposition based chaotic differential evolution (OCDE) technique is used in this work. The proposed technique is tested on IEEE-33 bus and IEEE-69 bus radial distribution systems to verify the effectiveness of the proposed method. The results obtained by this technique are also compared with other techniques. It is observed that the proposed technique performs well for this type of problem.
机译:在径向配电系统中集成分布式发电机(DG)是电力系统中重要且具有挑战性的工作之一。网络系统中DG的最佳分配可将总配电功率损耗降至最低,并改善电压曲线。这项工作的主要目的是通过策略性地选择DG的最佳尺寸及其在系统中的最佳位置来最大程度地减少总有功功率损耗。不同类型的DG的工作功率因数可能会有所不同,因此案例研究中也要考虑功率因数。为了使目标函数最小化,在这项工作中使用了基于对立的混沌微分进化(OCDE)技术。在IEEE-33总线和IEEE-69总线径向分布系统上测试了所提出的技术,以验证所提出方法的有效性。还将通过该技术获得的结果与其他技术进行比较。可以看出,所提出的技术对于这种类型的问题表现良好。

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