Identify Optimization Potential With Power and Process Monitoring

Determine Characteristic Values in Real Time With Utmost Accuracy

ibaPQU-S determines all the characteristic values stipulated in the EN 50160 standard. These characteristic values are calculated according to the calculation rules set out in the IEC 61000- 4-30 standard, Class A, which is the highest  quality class.

Advantages of Power Quality Measurements With the iba System

Due to the normalization, voltage becomes a product subject to requirements that can be evaluated. The contractually agreed requirements apply to the supplier, transmission system operator, and purchaser. The normalized measurement serves as proof and must stand up in court as it may be used as a piece of evidence. If there are any deviations or if contractual obligations are breached, a key part of identifying the cause is figuring out whether the network operator or the consumer is responsible for the issue.

Traditional power quality records are good for documentation purposes but are less suitable for root cause analyses, as measurement data that has been aggregated in 10-minute or even 2-hour intervals does not allow dynamic peaks and their times to be identified. The iba system solves this problem by offering not only normalized, aggregated data classes for analysis, but also intermediate values acquired every half-period (e.g., every 10 ms), or after every FFT calculation (every 200 ms) for harmonics. While the normalization focuses on voltages, the iba system also enables all algorithms and calculations for voltages to be applied equally to currents. This is very useful for things like current harmonics and for evaluating filter measures.

Conclusive Root Cause Analyses in the Event of Faults

For operators of complex, energy-intensive plants, it is a good idea to take additional measurements in the depths of the plant grid alongside those at the transfer point, so as to enable the spread of faults to be traced back. Thanks to the iba system and its combinable acquisition of process data from the plant controller, the responsible people can quickly compare what is happening in the process with the power quality data to carry out a root cause analysis.

In addition to an event-based analysis which identifies the causes and origin of faults, the iba system is also ideal for monitoring long-term trends and thus evaluating the effectiveness of measures, such as when compensating for harmonics or flicker.