Abstract

This paper presents a new method for recognition the identical behaviors of synchronous generators for particular fault location on power system. In this method, a hybrid algorithm combining particle swarm optimization (PSO) algorithm with k-means algorithm, also referred to PSO-KM algorithm is proposed to find the specified number of clusters in electric network. Each cluster represents a number of generators such that these generators named coherent generators. Clustering process is based on similarity of time domain data in transient stability studies. The new algorithm is evaluated on 39-Bus New England test system. Results show that the proposed algorithm has much potential in finding coherent generators.

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.