Abstract
In this paper, a non-traditional optimization technique, a Micro-Genetic Algorithm (MGA) is conjunction with Fuzzy Logic (FL), is used to optimize the various process parameters involved in the introduction of FACTS devices in a power system. The various parameters taken into consideration were the location of the devices, their type, and their rated value. The simulation was performed on a 30-bus power system with various types of FACTS controllers, modeled for steady state studies. The optimization results are compared to the solution given by another search method. This comparison confirms the efficiency of the proposed method, which makes it promising for solving combinatorial problems of FACTS device location in a power system network.
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.
