首页> 外文期刊>International Journal of Electrical Power & Energy Systems >Chaos embedded krill herd algorithm for optimal VAR dispatch problem of power system
【24h】

Chaos embedded krill herd algorithm for optimal VAR dispatch problem of power system

机译:电力系统最优无功分配问题的混沌嵌入磷虾群算法

获取原文
获取原文并翻译 | 示例
       

摘要

Chaotic krill herd algorithm (KHA) (CKHA) is proposed in this paper to solve the optimal VAR dispatch problem of power system considering either minimization of real power loss or that of absolute value of total voltage deviation or improvements of voltage profile as an objective while satisfying all the equality and the inequality constraints of the power system network. Detailed studies of different chaotic maps are illustrated. Among these, Logistic map is considered in the proposed technique to improve the performance of the basic KHA. The performance of the proposed CKHA is implemented, successfully, on standard IEEE 14- and IEEE 118-bus test power systems in which the control of bus voltages, tap position of transformers and reactive power sources are involved. The results offered by the proposed CKHA are compared to other evolutionary optimization based techniques surfaced in the recent state-of-the-art literature. Simulation results indicate that the proposed CKHA approach yields better optimization efficacy over some other recent popular techniques in terms of results offered, effectiveness, quality of solution and convergence speed. (C) 2016 Elsevier Ltd. All rights reserved.
机译:为了解决电力系统的最优VAR调度问题,提出了一种基于混沌磷虾群算法(CKHA)的方法,以最小化实际功率损耗或总电压偏差的绝对值或改善电压曲线为目标。满足电力网络的所有平等和不平等约束。说明了不同混沌图的详细研究。其中,在所提出的技术中考虑了逻辑图,以改善基本KHA的性能。所提出的CKHA的性能已在标准IEEE 14总线和IEEE 118总线测试电源系统上成功实现,其中涉及总线电压,变压器抽头位置和无功功率的控制。拟议的CKHA提供的结果与最新技术文献中出现的其他基于进化优化的技术进行了比较。仿真结果表明,所提供的CKHA方法在提供的结果,有效性,解决方案的质量和收敛速度方面,比其他一些最近流行的技术产生更好的优化效果。 (C)2016 Elsevier Ltd.保留所有权利。

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