Abstract
AbstractThis paper presents the development of Neuro-Fuzzy Static Var Compen-sator (SVC)for the purpose of improving power system stability with a long of double circuit transmission lines system. The proposed control method, Neuro-Fuzzy Logic Static Var Compensator based on proportional integral information for the purpose of power system stability improvement. The test system is a two area multimachine hybrid power system consisting of 2 synchronous generators and 2 induction generat-ors connected to an infinite bus through a double circuit transmission line with SVC located at the midpoint. The SVC is installed at the transmission line that is linked between two power system areas. The input signal of fuzzy controller is the power flowing in the transmission line connected to the SVC bus. The simulation results demonstrate the good response of this proposed control. Comparison results of stabi-lity control between the conventional method of power system stabilizer (PSS)and the PSS with SVC controlled by fuzzy of a long distance power transmission system.KeywordsPower SystemFuzzy ControllerTransient StabilityPower System StabilizerPropose Control MethodThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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