Performance analysis of power quality monitoring system

Carolyn, Lim Kim Yen (2014) Performance analysis of power quality monitoring system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The presence of power quality (PQ) problem in the power supply system can cause malfunction of the modern high technology devices and these faults will bring about immense financial losses in the commercial and industrial sectors. Essentially, there is a need to determine the type of PQ problem that occurred, so that proper actions can be taken to overcome the problem. Most of the PQ instruments available in the market are unable to classify PQ events, thus power quality monitoring system (PQMS) is developed by previous researchers to solve that problem. The flexibility of PQMS has facilitated in identifying PQ problem that is globally experienced in real electrical delivery of power system prominently in distribution. It is suitable for remote measurement of various non-linear loads, as well as instantaneous classification of the PQ problem. The validation of PQMS performance in measurements and PQ detection through numerous laboratory experiments is feasible by using Fluke 43B power quality analyser (PQA) as the reference tool. Five different set-ups with components like three phase induction motor, single phase capacitor run motor and single phase full wave controlled rectifier are constructed for no load test, blocked rotor test, voltage sag and harmonic distortion in single phase and three phase system. The no load and blocked rotor tests data collection inclusive of voltage, current, real power, reactive power, apparent power and power factor has prompted the measurement accuracy assessments. The voltage sag and harmonic distortion are induced for testing the PQMS ability in identifying the signal disturbances. The effectiveness of PQMS is emphasized through the comparisons between the signals obtained and absolute percent error (APE) of the measurements with the results of PQA. In short, the performance of PQMS in signal detection and measurement is verified.

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