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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...
The optimal reactive power control scheme changes throughout a day due to the time-varying load demands. In order to reduce switching operations of control devices, the load demand profile is usually decomposed into several sequential segments, in which the load can be regarded approximately invariable. Two new load profile partitioning methods are proposed in this paper. One of them uses an optimization...
In this paper, the proportional-integral (PI) based conventional internal controller (CONVC) of a power electronic based series compensator in an electric power system, is replaced by a nonlinear optimal controller based on the dual heuristic programming (DHP) optimization algorithm. The performance of the CONVC is compared with that of the DHP controller with respect to damping low frequency oscillations...
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