Robust control in a multimachine power system using adaptive neuro-fuzzy stabilisers

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Robust control in a multimachine power system using adaptive neuro-fuzzy stabilisers

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A robust artificially intelligent adaptive neuro-fuzzy power system stabiliser (ANF PSS) design for damping electromechanical modes of oscillations and enhancing power system synchronous stability is presented. An actual power system is decomposed into separate subsystems, each subsystem consisting of one machine. The local ANF PSS is associated with each subsystem. The local feedback controllers rely only on information particular to their subsystem. The input signals are the speed, power angle and real power output. Nonlinear simulations show the robustness of the ANF PSS.

Inspec keywords: artificial intelligence; oscillations; fuzzy control; synchronous generators; neurocontrollers; power system stability; adaptive control; robust control; fuzzy neural nets; damping

Other keywords: feedback controllers; robust control; oscillations; multimachine power system; nonlinear simulations; artificially intelligent adaptive neuro-fuzzy power system stabiliser; ANF PSS; electromechanical modes damping; power angle; power system synchronous stability

Subjects: Self-adjusting control systems; Power engineering computing; Neurocontrol; Synchronous machines; Control of electric power systems; Fuzzy control; Control engineering computing; Stability in control theory; Neural computing techniques; Power system control

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