Analysis of monitored power quality data Conference Paper uri icon

abstract

  • 1999 IEEE. Electric industry restructuring has had a dramatic impact on the energy market. To gain a competitive advantage, today's energy providers need to focus on value added products and services - such as power quality. Power quality is a critical issue for industrial customers, especially in the high-tech sector. Sensitive customers of electricity have a deep interest in the performance, efficiency, power quality, interchangeability, and safety of electrical operating systems. Standards provide the essential tools that support and complement these interests. They provide economic benefits to the high-tech customers in system design, equipment design, electrical safety, operating performance, energy efficiency, power quality and reliability, and standardisation of products and services. For full utilisation of the guidelines and standards, it is important that the industry use accurate instrumentation to monitor the quality of electricity. This instrumentation must provide 'information' that can be analysed using software to arrive at causes and reasons for power quality events. In order to under stand power delivery quality, many customers or energy providers have installed power quality monitoring systems to record electrical system performance and/or facility equipment reactions. Analysis of these monitored data become a challenge. In this panel, we will introduce some state-of-the-art approaches that address the issues. The discussion will cover from PQ standards, event data analysis, analytical methods, to intelligent algorithm approaches. The panelists are experts from industry and academia.

name of conference

  • 199 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364)

published proceedings

  • 199 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364)

author list (cited authors)

  • Liu, E.

citation count

  • 4

complete list of authors

  • Liu, E

publication date

  • January 1999