首页> 外文期刊>SN Applied Sciences >Optimal distributed generation location and sizing for loss minimization and voltage profile optimization using ant colony algorithm
【24h】

Optimal distributed generation location and sizing for loss minimization and voltage profile optimization using ant colony algorithm

机译:蚁群算法最优分布发电定位和损耗最小化和电压曲线优化的尺寸

获取原文
获取原文并翻译 | 示例
           

摘要

A system of power generation whereby the generating equipment is located close to the point of usage, thereby reducinglosses and operation cost is called distributed generation (DG). However, it is imperative that DGs are sited such that thequality of power delivered is optimized and the total real power loss within the system minimized. This paper proposesan approach for optimum sizing and siting of DGs sizing in a power distribution system using Ant Colony Optimization(ACO) algorithm. To validate the algorithm the IEEE 30 bus standard test system was employed. A 92% decrease in realpower loss within the system relative to the value before the connection of DGs was observed, while the minimum busvoltage increased from 0.656 per unit to 0.965 per unit. The results obtained from ACO are further verified by creatingan ETAP model of the IEEE 30 bus system and simulating the impact of DG on the system. A significant reduction in totalreal power losses within the system and improvement in voltage profile was observed when the DGs are placed at theACO derived sites relative to at other locations. Therefore, Ant Colony Algorithm can be used in deriving the optimumsites and sizes of DGs in a power distribution system.
机译:发电设备的系统靠近使用点,从而减少损失和运营成本称为分布式发电(DG)。但是,必须突出DGS这样的必要条件提供的电力质量优化,系统内的总实证损耗最小化。本文提出了蚁群优化用电力分配系统中DGS尺寸的最佳尺寸和选址方法(ACO)算法。为了验证算法,采用IEEE 30总线标准测试系统。真实的92%减少了在观察到DG的连接之前,系统内的功率损耗相对于DG的连接,而最小总线电压从每单位0.656增加到每单位0.965。通过创建从ACO获得的结果IEEE 30总线系统的ETAP模型,并模拟DG对系统的影响。总共显着减少当DGS放置时,在系统内部和电压曲线的改进的实际功率损耗ACO导出的网站相对于其他位置。因此,蚁群算法可用于导出最佳状态配电系统中DGS的网站和大小。

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