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Unlocking Accurate Power Quality Data: Advanced Use of Scale Factors in ProVision
This white paper explores the critical role of scale factors in ProVision for accurate power quality (PQ) data analysis. It details how scale factors correct for PT/CT ratios, enable per-unit analysis, and address installation anomalies like backwards CTs or fractional turns. The paper demonstrates practical applications, such as adjusting for distributed generation power flow direction and improving measurement resolution, ensuring that PQ data reflects true system conditions.
Key topics include:
- Introduction to Scale Factors and PQ Data
- Mechanics of Scale Factor Application in ProVision
- Applying PT and CT Ratios for Primary Value Reflection
- Correcting for Multiple or Fractional Turns Through a Clamp
- Converting to Per-Unit Values
- Correcting for Backwards CTs and Voltage Polarity
- Switching Power Flow Direction for Distributed Generation
Why utilities should care:
Accurate scaling of PQ data ensures reliable system diagnostics, supports regulatory compliance, and enables precise comparison across assets. Flexible scale factor application corrects for field installation variances, improving data integrity and operational decision-making.
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