• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Renewable and Sustainable Energy Conference >MFO Algorithm for Optimal Location and Sizing of Multiple Photovoltaic Distributed Generations Units for Loss Reduction in Distribution Systems
【24h】

MFO Algorithm for Optimal Location and Sizing of Multiple Photovoltaic Distributed Generations Units for Loss Reduction in Distribution Systems

机译：MFO算法，用于减少配电系统中的损耗，优化多个光伏分布式发电单元的位置和大小

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Renewable Energy Resources (RES) can supply a clean and a smart solution to satisfy the rapidly growing load demand. The Photovoltaic (PV) and wind turbines are considered as resources of Distributed Generation (DG). The integration of PV - DG units into distribution systems has a significant effect on reducing the system active power losses. In this paper, a new technique based on the Moth Flame Optimization (MFO) algorithm, is used to optimally allocate the PV -DG units in Radial Distribution Systems (RDSs) and determine the optimal size of each unit. The objective of the technique is to minimize the total active power losses of the system, while satisfying several operating constraints. The proposed optimization algorithm is tested using three different IEEE standard RDSs of various sizes, which are 33, 69 and 118-bus systems. In order to demonstrate the applicability and the performance of the MFO algorithm, numerical simulations are obtained when applying the MFO algorithm, and compared with different existing optimization techniques. This comparison shows the validity of the proposed MFO algorithm.
机译：可再生能源（RES）可以提供清洁，智能的解决方案，以满足快速增长的负荷需求。光伏（PV）和风力涡轮机被视为分布式发电（DG）的资源。将PV-DG装置集成到配电系统中对降低系统有功功率损耗具有重要作用。在本文中，基于飞蛾火焰优化（MFO）算法的新技术用于在径向分布系统（RDSs）中最优地分配PV -DG单位，并确定每个单位的最佳尺寸。该技术的目的是在满足几个操作约束的同时，将系统的总有功功率损耗降至最低。所提出的优化算法是使用33个，69和118总线系统的三种不同大小的不同IEEE标准RDS进行测试的。为了证明MFO算法的适用性和性能，在应用MFO算法时进行了数值模拟，并与现有的不同优化技术进行了比较。这种比较表明了所提出的MFO算法的有效性。

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