Abstract
Due to the great importance of the performance of load frequency controllers in power systems, a lot of effort have been performed to improve the performance of these controllers by fine tuning them. Evolutionary algorithms are the most popular techniques used to optimally tune the controllers. In this article, wind driven optimization (WDO) algorithm which is a newly developed evolutionary algorithm is used for tuning load frequency controllers. Based on simulation studies, the impact of different objective functions on the performance of the evolutionary algorithms in tuning the controllers is investigated. Also, using simulation studies carried out in a three areas interconnected power system, the effectiveness of the proposed optimization algorithm in comparison to other newly proposed evolutionary algorithms is demonstrated. Furthermore, the robustness of the proposed method in case of power system parameters and configuration variations is confirmed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.