Abstract

This paper presents a study of the application of a STATCOM to enhance the damping of an inter-area oscillation exhibited by a two-area four-machine interconnected power system. The adaptive fuzzy controller, of which the parameters art tuned by orthogonal least squares (OLS) training algorithm, is incorporated into the supplementary control of STATCOM. Comparing to gradient descent algorithm, which may get trapped at a local minimum of the chosen optimization criterion during the learning procedure, the use of OLS algorithm give a faster and more robust parameter estimation. The inter-area oscillation damping is improved more by the STATCOM. The simulation results show that the designed fuzzy controller is efficient in damping power oscillations, and has better performance than the linear counterpart when operating condition changes.

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 call

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.