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This paper proposes an adaptive critic design (ACD) based control method of a generator in a single machine infinite bus (SMIB) power system, by using a biologically-inspired artificial neural network (BIANN). A heuristic dynamic programming (HDP) based optimal controller applying three BIANNs is designed for the control of the turbo generator in the SMIB system. By developing a numerical derivative...
Inspired by living neuron networks (LNNs) in the brain, artificial neural networks (ANNs) have been broadly used in various applications as a computational intelligence tool. However, due to many fundamental differences between ANNs and LNNs, despite the mature training mechanisms for ANNs, it is often challenging to use LNNs as a computational intelligence tool. To bridge the gap between ANNs and...
In power system, the voltage pulsation and deficiency or surplus of reactive power will have a great effect on the quality of electric power supply. Through the appropriate and effective way of compensation, we can keep the balance of reactive power in the maximum degree by the maintenance of acceptable voltage. That's to say, quality of power supply can be improved greatly by the synthetic compensation...
With the wide use of power electronics devices, harmonic currents are being injected into the power system, known as ldquoharmonic pollutionrdquo. Although IEEE standards have required the utilities and customers to limit the amount of harmonic current and voltage, the practical evaluation is complicated, as it is difficult to separate the contributions from the utilities and customers. A neural-network-based...
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