Predicción de corrientes armónicas en ventanas de carga residenciales, mediante modelos neuronales artificiales
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Universidad Industrial de Santander
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En la actualidad, la mayoría de las cargas residenciales conectadas a los sistemas de distribución deenergía eléctrica son no lineales, es decir, la corriente contiene componentes armónicas al igual que laonda de tensión. Estos equipos inyectan armónicos a la red de alimentación eléctrica en el punto deconexión común. Para el análisis de la no linealidad presente en estas cargas, es necesario predecir lascorrientes armónicas generadas por este tipo de equipos o grupos de carga. En este artículo se presentanmodelos del comportamiento armónico de equipos eléctricos residenciales no lineales utilizando redesneuronales artificiales. Los equipos analizados tienen como característica principal que su sistema desuministro de energía eléctrica esta basado en rectificadores monofásicos de onda completa con filtrocapacitivo.
At present, most of the residential loads connected to the electric power distribution systems are non-linear, ie the current contains harmonic components as well as the voltage loop. These devices inject harmonics into the mains supply at the common connection point. For the analysis of the nonlinearity present in these loads, it is necessary to predict the harmonic currents generated by this type of equipment or load groups. In this paper, models of the harmonic behavior of nonlinear residential electrical equipment are presented using artificial redneurons. The analyzed equipment has as main characteristic that its electrical power supply system is based on single-phase full-wave rectifiers with capacitive filter
At present, most of the residential loads connected to the electric power distribution systems are non-linear, ie the current contains harmonic components as well as the voltage loop. These devices inject harmonics into the mains supply at the common connection point. For the analysis of the nonlinearity present in these loads, it is necessary to predict the harmonic currents generated by this type of equipment or load groups. In this paper, models of the harmonic behavior of nonlinear residential electrical equipment are presented using artificial redneurons. The analyzed equipment has as main characteristic that its electrical power supply system is based on single-phase full-wave rectifiers with capacitive filter
Keywords
Harmonics, loading window, prediction, neural networks, artificial intelligence, wavelength, Armónicos, ventana de carga, predicción, redes neuronales, inteligencia artificial, calidad de onda.