Published

2018-09-01

Power quality improvement in an AC network using artificial neural network and hysteresis band current controller

Mejora de la calidad de la alimentación en una red de CA usando red neuronal artificial y controlador de corriente de banda de histéresis

DOI:

https://doi.org/10.15446/ing.investig.v38n3.67885

Keywords:

Artificial neural networks, total harmonic distortion, power filters, pulse width modulation, pi control (en)
Redes neuronales artificiales, Distorsión armónica total, Filtros de alimentación, Modulación de ancho de pulso (es)

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Authors

  • Abdul Mutal Sulehri National University of Computer and Emerging Sciences ,Islamabad

This paper demonstrates a study to improve the total harmonic distortion (THD) originated due to excessive use of power electronic (PE) equipment and non-linear loads. Shunt active power filter (SAPF) is used to mitigate the harmonics from the system because it has the capability of minimizing the harmonic problems initiated by non-linear loads. The instantaneous reactive power (IRP) p-q theory is used for the generation of reference signal and for the extraction of compensating components of the current. The proportional integral (PI) controller and artificial neural network (ANN) have been employed in the DC-link controller and for current errors adjustments. In this paper, both conventional hysteresis and adaptive hysteresis band current controller (HBCC) have been used for the generation of gate pulses for the SAPF, which reduces THD in the source current to a value within IEEE specified standards, without any phase error over the extensive range of adaptive HBCC strategy. Simulation results confirm that the SAPF with HBCC and ANN performs the harmonic mitigation efficiently and maintains power factor (PF) close to unity. 

Este trabajo presenta un estudio para mejorar la distorsión armónica total (THD) originada por el uso excesivo del equipo de potencia electrónica (PE) y cargas no lineales. Se usa un filtro activo de potencia en derivación (SAPF) para mitigar los armónicos del sistema porque este tiene la capacidad de minimizar los problemas de armónicos iniciado por cargas no lineales. La teoría p-q de potencia reactiva instantánea (IRP) se utiliza para la generación de la señal de referencia y la extracción de componentes compensadores de la corriente. La proporcional integral (PI) y el controlador de red neuronal artificial (ANN) se emplearon en el controlador DC-link y para ajustes de errores de corriente. En este artículo, tanto la histéresis convencional como el controlador de corriente de banda de histéresis adaptativa (HBCC) han sido utilizados para la generación de pulsos de compuerta para el SAPF, lo que reduce la THD en la fuente de corriente a un valor dentro de las normas IEEE establecidas, sin ningún tipo de error sobre la amplia gama de la estrategia adaptativa de HBCC. Los resultados de la simulación confirman que el SAPF con HBCC y ANN realiza una eficiente mitigación de armónicos y mantiene un factor de potencia (PF) cercano a la unidad.

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Power quality improvement in an AC network using artificial neural network and hysteresis band current controller. (2018). Ingeniería E Investigación, 38(3), 42-49. https://doi.org/10.15446/ing.investig.v38n3.67885
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