This paper describes advances in power quality monitoring equipment and software tools for analyzing power quality measurement results. Power quality monitoring has advanced from strictly problem solving to ongoing monitoring of system performance. The increased amount of data being collected requires more advanced analysis tools. Types of power quality variations are described and the methods ...

The enormous economic loss caused by power quality problems (more than $150 billion per year in USA) makes power quality monitoring an important component in power grid.With highly connected fragile digital equipment and appliances, Smart Grid has more stringent timeliness and reliability requirements on power quality monitoring. In this work, we propose a change-point detection theory-based po...

Abstract To improve the authenticity of reconstructed signals in power quality disturbance detection, an improved wavelet denoising method based on a coquantum-particle swarm is proposed to solve problem that parameters traditional function are not easy obtain, and detection framework constructed. Simulation analysis verifies can effectively performance compared with method. The signal closer o...

Power quality monitoring has advanced to an important tool for system evaluation and solving power-related problems. As a consequence the increased amount of recorded data requires more sophisticated analysis methods. The paper proposes a system for automated recording and classification of power quality disturbances. The system features statistical classification techniques applied to a frame-...