Análise dos impactos harmônicos em uma indústria de manufatura de eletroeletrônicos utilizando árvores de decisão

Abstract

The Power Quality (PQ) is constantly the subject of many studies, mainly those that are related to the industrial production sector, where are concentrated large loads of the electrical systems. With the evolution of industrial production processes and the introduction of new technologies in the industrial sector, quantities of electronic equipment bars were added that are sources of disturbances in the systems, and affecting the quality of the product "electricity". In order to minimize the inconvenience resulting from low quality of energy and damage to utilities and consumers (industrial, commercial and residential), it was developed in Brazil, distribution procedures in the national grid (PRODIST), created and developed the National Electric Energy Agency (ANEEL). The PRODIST aims to regulate and standardize activities related to energy distribution, including product quality standards. This work was concentrated and held in a company of the industrial pole of Manaus (PIM), which has a three-phase electrical system low voltage, in order to monitor the quality of the product "electricity" through the harmonic content generated by the electrical network involved in manufacturing. The data generated were subjected to computational intelligence technique (HF), using the process of knowledge extraction discovery in databases or KDD. The objective is to analyze, identify and diagnose the coupling points and processes that have representative harmonic content for the system, so being able to check how much each analyzed process may be affecting the power quality within the industry itself and the point of coupling with the concessionaire, through the generations of harmonic distortion, thus avoiding penalties and other sanctions regulated.