Análise de qualidade da energia elétrica em uma empresa do setor alimentício: um estudo de caso

Abstract

Daily, in various sectors of energy consumption, questions arise regarding the quality of service delivered by the utility company or a private distribution system. Power quality (PQ) is interpreted as an indicator of reliability and the efficient use of electricity by its users, making it an important planning tool. For the industrial sector, which is increasingly competitive, PQ indicators are of utmost interest for enhancing productivity and the performance of machinery and other production and service systems. This case study presents an analysis of the PQ delivered at 440 V to a manufacturing plant of a company in the food sector, with the aim of diagnosing non-conformities with the parameters established by the National Electric Energy Agency (ANEEL) that could potentially impact its equipment and/or production capacity. The analysis was conducted based on data collected by a Fluke 435 power quality analyzer over nine days of regular factory production, including routine production stops. The power quality analyzer was configured to record measurements every five minutes in its memory, and 2,593 valid readings were considered for analysis. When comparing the measurements taken with the analysis parameters, a non-conformity in the system's power factor was identified, with an average inductive value of 0.88 and an extreme inductive value of 0.81, whereas the ideal range determined by ANEEL would be between 0.92 and 1.00 inductive, or between 1.00 and 0.92 capacitive. The study concludes that, to address the deviations presented by the system's behavior, a dedicated investigation into the loads connected at 440 V should be conducted so that the best option for power factor correction can be implemented.