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This paper presents the design and implementation of Power System Stabilizers in a multimachine power system based on innovative evolutionary algorithm overtly as Breeder Genetic Algorithm with Adaptive Mutation. For the analysis purpose a Conventional Power System Stabilizer was also designed and implemented in the same system. Simulation results on multimachine systems subjected to small perturbation...
Recently, self tuning fuzzy control techniques are applied to improve the performances of any system. This paper explains the design and application of a self tuning fuzzy control technique to a drilling force control process. The main objective is to design, analyse and compare the performance of self tuning fuzzy PI controller under two different conditions namely when the input scaling factor is...
This paper proposes a Multi-Objective Optimization (EMOO) algorithm is used to tune the Proportional Integral (PI) speed regulator in the Permanent Magnet DC (PMDC) motor drive system It aims at achieving good robustness and struck at global optima. Calculus based methods including gradient approaches mainly search for local optimum solutions, rather than global optimum. Due to the drawbacks that...
The supplementary control signal is provided by means of Power System Stabilizer (PSS), will damp the low frequency oscillations. This paper presents the design of fuzzy logic based power system stabilizers using genetic algorithms in multimachine power system. In the proposed fuzzy expert system, generator speed deviation and its derivative are chosen as input signals to fuzzy logic based power system...
Unified power flow controller (UPFC) has been widely used to enhance damping of power swings. The control strategy adopted to mitigate power system oscillations in an effective and robust manner is the key issue. Various control methods used to improve the transient stability based on optimal parameters, state variables and injection model were studied. A scheme based on fuzzy bang-bang control is...
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