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• W2327979897 abstract "One type of Evolutionary Optimization Technique namely Particle Swarm Optimization (PSO) have been proposed in this paper to obtain the optimal placement a Shunt Flexible AC Transmission System (FACTS) Controller i.e. Static VAr Compensator (SVC) in the network. An Optimal Power Flow (OPF) problem with mixed integer programming has been formulated for simultaneously optimizing multi-objectives optimization problem viz., enhancing the power system load ability, minimizing the active power loss of transmission line, and by considering installation cost of the controller whereas maintaining the system security and stability margins, e.g., small signal stability, fast voltage stability index, and line stability factor in their acceptable margins. The effectiveness of the proposed methodology has been investigated on a practical Java-Bali 24-bus Indonesia system. Results demonstrate that the static and dynamic performances of the power system can be effectively enhanced by the optimal allocation of the SVC in the network." @default.
• W2327979897 created "2016-06-24" @default.
• W2327979897 creator A5011086357 @default.
• W2327979897 creator A5074968167 @default.
• W2327979897 date "2013-12-01" @default.
• W2327979897 modified "2023-10-16" @default.
• W2327979897 title "Optimal Placement of a Shunt FACTS Controller in Java-Bali 24-Bus Indonesian System by Evolutionary Optimization Technique" @default.
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• W2327979897 doi "https://doi.org/10.1109/aims.2013.69" @default.
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