首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:New Coordinated Tuning of SVC and PSSs in Multimachine Power System Using Coyote Optimization Algorithm
  • 本地全文:下载
  • 作者:Tawfik Guesmi ; Badr M. Alshammari ; Yasser Almalaq
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2021
  • 卷号:13
  • 期号:6
  • 页码:3131
  • DOI:10.3390/su13063131
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要:This paper presents a new approach for coordinated design of power system stabilizers (PSSs) and static VAR compensator (SVC)-based controller. For this purpose, the design problem is considered as an optimization problem whose decision variables are the controllers’ parameters. Due to nonlinearities of large, interconnected power systems, methods capable of handling any nonlinearity of power networks are mostly preferable. In this regard, a nonlinear time domain based objective function is used. Then, the coyote optimization algorithm (COA) is employed for solving this optimization problem. In order to ensure the robustness and performance of the proposed controller (COA-PSS&SVC), the objective function is evaluated for various extreme loading conditions and system configurations. To show the contribution of the coordinated controllers on the improvement of the system stability, PSSs and SVC are optimally designed in individual and coordinated manners. Moreover, the effectiveness of the COA-PSS&SVC is assessed through comparison with other controllers. Nonlinear time domain simulation shows the superiority of the proposed controller and its ability in providing efficient damping of electromechanical oscillations.
国家哲学社会科学文献中心版权所有