- Interpretation and Analysis of Power...

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1 Interpretation and Analysis of Power Quality Measurements Christopher J. Melhorn Electrotek Concepts, Inc. Knoxville, Tennessee Mark F. McGranaghan Electrotek Concepts, Inc. Knoxville, Tennessee A BSTRACT 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 of characterizing each type with measurements are presented. Finally, methods for summarizing the information and presenting it in useful report formats are described. I NTRODUCTION Power quality has become an important concern for utility, facility, and consulting engineers in recent years. End use equipment is more sensitive to disturbances that arise both on the supplying power system and within the customer facilities. Also, this equipment is more interconnected in networks and industrial processes so that the impacts of a problem with any piece of equipment are much more severe. The increased concern for power quality has resulted in significant advances in monitoring equipment that can be used to characterize disturbances and power quality variations. This paper discusses the types of information that can be obtained from different kinds of monitoring equipment and methods for analyzing and presenting the information in a useful form. Important objectives for the paper include the following: Describe important types of power quality variations. Identify categories of monitoring equipment that can be used to measure power quality variations. Offer examples of different methods for presenting the results of power quality measurements. Describe tools for analyzing and presenting the power quality measurement results. Analysis tools for processing measurement data will be described. These tools can present the information as individual events (disturbance waveforms), trends, or statistical summaries. By comparing events with libraries of typical power quality variation characteristics and correlating with system events (e.g. capacitor switching), causes of the variations can be determined. In the same manner, the measured data should be correlated with impacts to help characterize the sensitivity of end use equipment to power quality variations. This will help identify equipment that requires power conditioning and provide specifications for the protection that can be developed based on the power quality variation characteristics. C ATEGORIES OF P OWER Q UALITY V ARIATIONS It is important to first understand the kinds of power quality variations that can cause problems with sensitive loads. Categories for these variations must be developed with a consistent set of definitions so that measurement equipment can be designed in a consistent manner and so
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