Development of a Power Quality Analysis Tool for Industrial Power Systems

Abstract

Power Quality (PQ) is a crucial aspect of power systems, affecting everything from measurement and operation
to protection, security, planning, and even economic factors. Poor PQ can lead to relay malfunctions, equipment
aging, increased electricity costs, and a host of other issues. That's why it's essential to monitor, investigate, and
address these problems swiftly to ensure the safe operation of power systems. This makes real-time PQ analysis
a fascinating area for research and development. One effective approach to tackle this issue is the Stockwell
Transform (ST), which is widely used in signal analysis. However, the high computational demands of ST present
a significant challenge. Enter the Fast Stockwell Transform (FST), which offers a more efficient alternative with
lower computational complexity. This paper introduces a Power Quality Analysis (PQA) method utilizing FST,
specifically tailored for industrial power systems. The FST is employed to extract PQ signals from the timefrequency
domain, and we detail its implementation using the STM32F407VGT6 microcontroller. We also
compare the simulation and application results against several common methods to validate the accuracy and
efficiency of our proposed algorithm. The simulation outcomes show that our algorithm can effectively detect
harmonics, voltage sags, flickers, oscillatory transients, notches, and spikes. Additionally, the experimental results
for harmonics align well with those from a well-known commercial product, demonstrating strong agreement.