File : whitepaper, pdf, 1.2 MB, 6 pages
This paper will highlight genuine case studies of Power Quality troubleshooting that was not capable of solving the Power Quality problem with measurements simply taken to comply with standards. It will further show that by providing engineers with data beyond the standards, an unprecedented number of Power Quality events can not only be captured, but are definitively solved.
INTRODUCTION
The main objectives for power quality monitoring are as follows: Power Quality Statistics: Measuring the power quality conditions in general, mainly to analyze the overall performance of an electrical systems power quality. In many cases this is monitored for facility distribution networks, large regions or total value for a utility.
Power Quality Contracts: Customers who are sensitive to power quality may have a specific electrical power contract that outlines the minimum acceptable power quality level to be supplied by the utility. Power Quality Troubleshooting: Analysis of power quality events, usually close to a problematic load or customer. The analysis may be driven from power quality failure, but is preferable to be driven by continuous monitoring that can detect potential problems. It is relatively obvious that power quality troubleshooting is the first stage, hopefully followed by some kind of corrective action. That corrective action would outline something that can or should be done in the network to improve the situation and prevent reoccurrence of the failure. However, the power quality statistics and contracts may also be followed by corrective action if the minimum power quality level is not achieved. While it is obvious that there is never too much information that can be utilized in troubleshooting, many papers written on this topic discuss what additional information should be added to the existing guidelines for power quality statistics and power quality contracts.
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