Event Waveform Analysis for Power Quality Disturbance Diagnosis
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Solution Overview
Problem
Power quality disturbances, caused by factors like harmonics, lead to significant business downtime, equipment malfunction, and increased energy costs, making it challenging to maintain operational stability and efficiency in critical power environments.
Innovation Solution
An intelligent electronic device (IED) monitors voltage and current signals, captures waveform data before, during, and after power events, and analyzes pre-event and post-event measurements to identify causes and impacts, enabling informed decision-making and actions to mitigate disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power quality monitoring is implemented to detect disturbances, then operational stability is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by capturing pre-event waveforms before power quality disturbances occur. This allows the system to establish baseline conditions and detect anomalies more effectively, improving operational stability without requiring complex real-time analysis during events.
Solution Approach 2:
The monitoring system segments power quality analysis into distinct phases: pre-event capture, event detection, and post-event analysis. This segmentation allows each phase to be handled with appropriate complexity levels, reducing overall system complexity while maintaining reliability.
2Measurement precision
If waveform capture duration is extended to include pre-event and post-event periods, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system captures pre-event waveforms in advance, performing preliminary data collection before disturbances occur. This extends measurement precision by including contextual information while the automated trigger-based capture minimizes additional time loss.
Solution Approach 2:
The system uses feedback mechanisms to automatically trigger waveform capture based on detected power quality events. This ensures that pre-event and post-event periods are captured only when necessary, improving measurement precision without excessive time loss through selective, event-driven operation.
3Reliability
If comprehensive power quality analysis is performed, then equipment reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs comprehensive power quality analysis periodically based on detected events rather than continuously. Waveform capture and analysis are triggered only when power quality disturbances occur, improving equipment reliability through targeted analysis while reducing overall energy consumption compared to continuous monitoring.
Data Source
AI summary
In a method and system, voltage and/or current signals on an electrical/power system is monitored. A power event is identified from the monitored voltage and/or current signals. In response to event identification, waveforms of the monitored voltage and/or current signals are captured. Energy-related signals are calculated and extracted from pre-event measurements, event measurements and post-event measurements using the captured waveforms. Additional information associated with the event is identified and calculated by comparing (a) the calculated and used energy-related signals from pre-event measurements, with (b) the calculated and used energy-related signals from post-event measurements.