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|Title||Voltage-Control Based on Fuzzy Adaptive Particle Swarm Optimization Strategy|
It is of great importance to keep the voltage profile at a power system buses within a prescribed tolerance of ± 10%. Keeping an acceptable voltage profile at the system buses is a challenging and a system-wide task. The reactive power flow in the lines of a power system dictates the voltage profile at the system buses. Voltage-control is rooted in rescheduling of this flow of reactive power. Despite the fact that many voltage-control techniques are available to electric power system operators, these systems around the world have been subjected to voltage instability problems and voltage collapses that cause in many occasions complete system breakdowns. In this thesis, a new voltage–control methodology is presented, which is originated on the use of multi-objective function based on fuzzy set theory and adaptive particle swarm optimization. The fuzzy logic is used to adapt the parameters of the adaptive particle swarm optimization. This methodology is applied to get a solution to the mathematical model that represents the voltage-control problem of a power system. The purpose is to ensure acceptable voltage profile and to minimize both the voltage deviation and the real power loss. The IEEE 30-Bus system model is used to employ and investigate the mathematical model built for the new voltage-control methodology using Matlab code. The findings will be documented and compared with other voltage-control strategies.
|Publisher||the islamic university|
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