Neural network based power system stabilizers
نویسندگان
چکیده
Novel power system neural network (ANN) based stabilizers (PSS) are presented. The two ANN-PSS designs are driven by the speed error and its rate of change. Other supplementary Stabilizing signals such as voltage deviation, ezcursion error, and PSS output rate of change are utilized to ensure the best matching between the ANN-PSS design and the optimized conventional analog PSS bench-mark model. The use of A N N based PSS stabilizers are motivcited b y their noise rejection and robustness under varying network topologies, loading conditions, parametric variations, and model uncertainties.
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