Abstract
This paper proposes a hybrid meta-heuristic method for determining the optimal allocation of FACTS devices in power systems. The optimal allocation of FACTS may be expressed as a nonlinear mixed integer problem that has integer and continuous variables corresponding to the location variables and control ones, respectively. The proposed method makes use of a hybrid meta-heuristic method with two layers. Layer 1 determines the allocation with Tabu search (TS) while Layer 2 evaluates the control variables with evolutionary particle swarm optimization (EPSO). The proposed method is successfully applied to a sample system.
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 callDisclaimer: 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.
