首页> 外文会议>International Conference on Computer, Electrical Communication Engineering >Optimal Tuning of Transient Stability Constraint Optimal power Flow problem using a Grey Wolf Optimization
【24h】

Optimal Tuning of Transient Stability Constraint Optimal power Flow problem using a Grey Wolf Optimization

机译:使用灰狼优化对暂态稳定约束最优潮流问题的优化调整

获取原文

摘要

Transient stability constraint based optimal power flow (TSC-OPF) problem is a major area of research for the research community. A relatively new optimization approach namely, grey wolf optimization (GWO) has been proposed in this novel study to explain the TSC-OPF problem efficiently. Here authors tries his best to explain philosophy of this technique. In this analysis work, here the TSC-OPF problem has solved by comparing other techniques with GWO. The superiority of the proposed GWO technique of solving TSC-OPF problem being validated by considering case studies of New England 10- machine, 39-bus system and WSCC 3-machine, 9-bus system. The allusive after-effects announce that the proposed GWO access is abundant added computationally able than added accepted techniques and is able for solving TSC-OPF job.
机译:基于瞬态稳定性约束的最优功率流(TSC-OPF)问题是研究界的主要研究领域。在这部小型研究中提出了一种相对较新的优化方法,即灰狼优化(GWO),以有效地解释TSC-OPF问题。这里作者试图最好解释这种技术的哲学。在该分析工作中,这里通过比较与GWO的其他技术进行了解决的解决方案问题。通过考虑新英格兰10机器,39总线系统和WSCC 3机,9总线系统的案例研究,验证了求解TSC-OPF问题的GWO技术的优越性。框架宣布所提出的GWO接入是计算最丰富的计算能够比添加的接受技术更丰富,并且能够解决TSC-OPF作业。

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