Fully Automated MV Cable Monitoring and Measurement System for Multi-Sample Acquisition of Artificial Aging Parameters

Abstract

The Power quality of our networks is influenced

by transients, short- and long-duration variations, voltage

unbalance, waveform distortions, voltage fluctuations and

power frequency variations. These impacts affect the aging

rapidity of the electrical equipment and finally the entire

electrical network. By partial discharge (PD) and tan(δ)

analyses, it is possible to determine the electrical equipment’s

condition. The significance of the results depends on the quality

of the measurement system and of the data interpretation. Based

on these results, a reliable maintenance and investment strategy

could be made, and the reliability of the network could be

improved. A specially designed aging system for the

accelerated aging of MV cables has been developed to point out

the most relevant aging parameters and their limits, and, in this

way, to upgrade the accuracy of the MV cable diagnostics. In

this paper, the system’s “intelligence”, which controls the aging

process and acquires, evaluates and stores all necessary data is

presented.