University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 6 4 2016 02 20 Optimal placement of STATCOM for voltage control using partitioning methods and fuzzy adaptive modified particle swarm optimization algorithm Optimal placement of STATCOM for voltage control using partitioning methods and fuzzy adaptive modified particle swarm optimization algorithm 0 49 15440 FA M. Bornapor University of Isfahan Eskandar Gholipour University of Isfahan M.R. Esmaili University of Isfahan Journal Article 2016 06 14 In this paper, a fuzzy method called C-Means is used for division of a power system into different region. The extension of disturbance between these regions can be avoided by using a FACTS-embedded local controller in each region. Optimal location of FACTS devices (STATCOM) are determined by designing a voltage control method and using an optimization algorithm. This control method is a decentralized approach that prevents unallowable deviation of voltage during disturbances. To verify the performance of the proposed method, 118-bus IEEE power system is used. The simulation results show the desirable performance of the proposed method. In this paper, a fuzzy method called C-Means is used for division of a power system into different region. The extension of disturbance between these regions can be avoided by using a FACTS-embedded local controller in each region. Optimal location of FACTS devices (STATCOM) are determined by designing a voltage control method and using an optimization algorithm. This control method is a decentralized approach that prevents unallowable deviation of voltage during disturbances. To verify the performance of the proposed method, 118-bus IEEE power system is used. The simulation results show the desirable performance of the proposed method. https://isee.ui.ac.ir/article_15440_644cd7e37a36cf54efc955b18f22d57d.pdf