ADVANCED POWER QUALITY MEASUREMENT CAMPAIGN

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ADVANCED POWER QUALITY MEASUREMENT CAMPAIGN
Tarjei Solvang Norway Session 2 Paper 0942
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Content

• Introduction
• Campaign objectives
• System description
• Measurement locations
• Measurement results
• Concluding remarks

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Introduction

• The importance of performing power quality
  measurements has gained increased interest in
  Norway
• SINTEF Energy Research are currently performing a
  power quality measurement campaign in Norway (a
  previous campaign 1993 2003)
• The first meters were deployed in 2007
• A total of 25 instruments are measuring
  continuously
• The measurement campaign is funded by the
  Norwegian Research Council, Norwegian utilities,
  power producers and industry companies

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Campaign objectives

• Establish database
• Map PQ in different networks
• Analyse how disturbances spread
• Analyse the influence of DG
• Develop a VQ disturbance recognition prototype
• New models and methods for load modelling

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System description

• Wave shape stored for voltage and current
• Sample rate 25,6 51,2 kHz
• Instruments synchronized through GPS or NTP
• Data download by FTP through 3G or broadband
• SQL database
• Data compression
• Parameter computing (from sine wave raw data)
• Data viewing and analysis
• Vendor software
• Matlab analysis by raw data export to Matlab

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Measurement locations
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Distribution of measurement instruments by
category
Category Number of instruments
Small scale hydro power 9
Wind power 7
Heavy industry 3
Critical infrastructure 2
Office building/Service sector 2
Rural areas (mainly overhead lines) 21
City networks (mainly power cables) 4
High voltage level (U gt 22 kV) 6
Medium voltage level (1 kV lt U 22 kV) 12
Low voltage level (U 1 kV) 6
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• Measurement results

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Concluding remarks

• Measurement of power quality increasingly
  important
• Distributed generation from new renewables
• New challenging loads
• Sensitive equipment
• Stressed system with ageing infrastructure
• New and advanced measurement systems
• Enhanced system overview and control
• No loss of data
• Automatic diagnostics of measurement data
• Valuable measurement results
• Saturation of measurement transformers false
  voltage dips
• Instability problems
• Interaction between different renewables
• Increased operation of load-tap-changers
• Higher than rated power production