Abstract
Power quality monitoring has expanded from a means to investigate customer complaints to an integral part of power system performance assessments. Besides special purpose power quality monitors, power quality data are collected from many other monitoring devices on the system (intelligent relays, revenue meters, digital fault recorders, etc.). The result is a tremendous volume of measurement data that is being collected continuously and must be analyzed to determine if there are important conclusions that can be drawn from the data. It is a significant challenge due to the wide range of characteristics involved, ranging from very slow variations in the steady state voltage to microsecond transients and high frequency distortion. This paper describes some of the problems that can be evaluated with both offline and online analyses of power quality measurement data. These applications can dramatically increase the value of power quality monitoring systems and provide the basis for ongoing research into new analysis and characterization methods and signal processing techniques.
Highlights
Electric power quality problems encompass a wide range of different phenomena with time scales range from tens of nanoseconds to steady state
The true value of any power quality monitoring program lies in its ability to analyze and interpret voluminous raw data, and generate actionable information to prevent PQ problems or improve the overall power quality performance
Power quality monitoring is fast becoming an integral part of a general distribution system monitoring, as well as an important customer service
Summary
Electric power quality problems encompass a wide range of different phenomena with time scales range from tens of nanoseconds to steady state Each of these phenomena may have a variety of different causes and, require different solutions that can be used to improve the power quality and equipment performance. The true value of any power quality monitoring program lies in its ability to analyze and interpret voluminous raw data, and generate actionable information to prevent PQ problems or improve the overall power quality performance. To this end, signal processing techniques in EURASIP Journal on Advances in Signal Processing conjunction with various artificial intelligence techniques are invaluable to meet this goal. The applications described provide the basis for research efforts (many of which are under way around the world) to identify new and improved methods for the data analysis and development of important conclusions from the measurement data
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