Modelo para el análisis y toma de decisiones mediante el empleo de técnicas de inteligencia artificial para la reducción de la distorsión armónica en redes de energía eléctrica.

Abstract

In the present research work, a model is proposed for the analysis and decision making in order to reduce the harmonic distortion in electrical energy networks, for the purpose is included artificial intelligence techniques, both, in the validation and simulation for the proposal model for mitigation through "Petri Nets", and in the implementation for the analysis of the study cases, which proposes a comparison between conventional correction models, and artificial intelligence correction models using techniques that integrates artificial neural networks for The mitigating effect, in particular, considering the specific analysis of the study cases, the proposed model focuses on two connotations oriented to the acquisition of data, the first is simulated and the second is the incorporation of the historical data measured by analyzing equipment Of energy quality used by distribution companies, the latter aspect will allow to link the proposed model to the electricity industry and provide a perspective of analysis, through regular cases raised in companies in charge of Ecuadorian electricity distribution, such as the "National Corporation of Electricity Public Company Strategic CNEL EP", this companies are the main producers of harmonic disturbances in an electrical system, due to the non-linear nature of the behavior in their electric charges (final consumer).