Abstract
In this study a linearized Heffron-Phillips model of a single machine power system installed with a static synchronous series compensator (SSSC) has been presented. The optimal selection of the parameters for the SSSC controller is converted to an optimization problem which is solved by recently developed cuckoo optimization algorithm (COA). COA, as a new evolutionary optimization algorithm, is used in multiple applications. This optimization algorithm has a strong ability to find the most optimistic results for dynamic stability improvement. The effectiveness of the proposed controller for damping low frequency oscillations (LFO) is tested to variations in system loading and results compared with particle swarm optimization (PSO). The results analysis reveals that COA minimized multi objective cost function and improved dynamic stability, better than PSO. Also, performance of proposed COA controller in 10 times run is the same as in 1 time run. In addition, designed COA based SSSC damping controller has an excellent capability in damping low frequency oscillations and enhances rapidly and greatly the dynamic stability of the power systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: ECTI Transactions on Electrical Engineering, Electronics, and Communications
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.
