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This paper presents a novel pattern recognition approach based on a four-layer artificial neural network (ANN) for the partial discharge (PD) diagnosis of power transformer. A precious PD detector is used to measure 3-D (φ-Q-N) signals and PD-fingerprints of four experimental models in a shielded laboratory. This work has established a database containing 160 sets of 3-D patterns and PD-fingerprints...
This paper presents new solution methods and results based on a particle swarm optimization (PSO) for solving the hydro generation scheduling problem. Complete solution algorithms and encoding/decoding techniques are proposed in the paper. The optimal schedules of both hydro and thermal units are concurrently obtained within the evolutionary process of evaluation functions. Significantly, no hydro-thermal...
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