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Power system stability is enhanced through a novel stabilizer developed around an adaptive fuzzy sliding mode approach which applies the Nussbaum gain to a nonlinear model of a single-machine infinite-bus (SMIB) and multi-machine power system stabili
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In this paper, a method combining fuzzy logic and sliding mode controller is proposed for the robust control of power system Single-Machine Infinite-Bus (SMIB). The aim of this study is to overcome some shortcoming of conventional power system stabil
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Power systems stability is enhanced through a novel stabiliser developed around a fuzzy sliding mode approach. First, sliding mode control is applied to selected operating point based models of a power system separately then fuzzy logic is used to fo
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Optimal power flow (OPF) is one of the nonlinear problems of power system. The various
algorithms for solving optimal power flow problem are found in the literature. The genetic algorithm
(GA) based solution techniques are found to be most suitab
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This study compares the power system stabilizer based on sliding mode control with the fuzzy power system stabilizer for Single Machine Infinite Bus System (SMIB). Using the sliding mode control, a range is obtained for the changes in system paramete
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An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) of a single machine infinite bus (SMIB) and multi machine
infinite bus (MMIB) system incorporated with an AC1A exciter.
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This study compares the power system stabilizer based on sliding mode control with the fuzzy power system stabilizer for Single Machine Infinite Bus System (SMIB). Using the sliding mode control, a range is obtained for the changes in system paramete
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An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) of a single machine infinite bus (SMIB) and multi machine infinite bus (MMIB) system incorporated with an AC1A exciter. For c
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