• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of electrical and power engineering >SVC Damping Controller Design Based on Bacteria Foraging Optimization Algorithm for a Multimachine Power System
【24h】

SVC Damping Controller Design Based on Bacteria Foraging Optimization Algorithm for a Multimachine Power System

机译：基于细菌觅食优化算法的多机电力系统SVC阻尼控制器设计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Social foraging behavior of Escherichia coh bacteria has recently been explored to develop a novel algorithm for distributed optimization and control. The Bacterial Foraging Optimization Algorithm (BFOA) as it is called now is currently gaining popularity in the community of researchers for its effectiveness in solving certain difficult real world optimization problems. This study proposes BFOA based Static Var Compensator (SVC) for the suppression of oscillations in power system. The proposed design problem of SVC over a wide range of loading conditions and different disturbances is formulated as an optimization problem. BFOA is employed to search for optimal controller parameters by minimizing the time domain objective function. The performance of the proposed technique has been evaluated with the performance of the conventional controller tuned by Ziegler-Nichols (ZN) and Genetic Algorithm (GA) in order to demonstrate the superior efficiency of the proposed BFOA in tuning SVC controller. Simulation results emphasis on the better performance of the optimized SVC controller based on BFOA in compare to optimized SVC controller based on GA and conventional one over wide range of operating conditions.
机译：最近已经探索了大肠杆菌的社会觅食行为，以开发一种新的分布式优化和控制算法。如今，所谓的细菌觅食优化算法（BFOA）因其在解决某些困难的现实世界优化问题方面的有效性而在研究者群体中广受欢迎。这项研究提出了基于BFOA的静态无功补偿器（SVC），用于抑制电力系统的振荡。提出的SVC在广泛的负载条件和不同干扰条件下的设计问题被表述为优化问题。 BFOA用于通过最小化时域目标函数来搜索最佳控制器参数。已通过Ziegler-Nichols（ZN）和遗传算法（GA）调节的常规控制器的性能对所提出技术的性能进行了评估，以证明所提出的BFOA在调节SVC控制器方面的卓越效率。与基于GA和传统的SVC控制器的优化SVC控制器相比，在较宽的工作条件范围内，仿真结果强调基于BFOA的优化的SVC控制器具有更好的性能。

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