Dynamic Voltage Alarm Threshold Adjustment
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Solution Overview
Problem
Current systems for managing voltage event alarms in electrical systems are inefficient, as they often require manual configuration and do not account for the impact of power quality events on specific loads, leading to excessive or irrelevant alarms, and fail to differentiate between impactful and non-impactful events.
Innovation Solution
The method involves processing electrical measurement data from intelligent electronic devices (IEDs) to identify anomalous voltage conditions, determining the impact on the electrical system, and dynamically adjusting alarm thresholds based on the magnitude and duration of these conditions, using a dynamic tolerance curve to customize alarm settings and prioritize events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration of alarm thresholds is used, then system simplicity is maintained, but alarm relevance and accuracy deteriorate due to excessive or irrelevant alarms
Solution Approach 1:
The system automatically adjusts alarm thresholds based on measured voltage events and their impact on loads, eliminating the need for manual configuration. The IED performs self-learning by monitoring voltage sags, swells, and interruptions, then dynamically sets thresholds that reflect actual system behavior and load sensitivity, improving accuracy while maintaining simplicity.
Solution Approach 2:
The alarm thresholds are dynamically changed based on measured electrical parameters. The system monitors voltage magnitude, duration, and rate of change, then adjusts thresholds accordingly. This allows the system to adapt to varying operating conditions and accurately distinguish between impactful and non-impactful events without complex manual setup.
2Adaptability or versatility
If fixed alarm thresholds are used, then system complexity is reduced, but the ability to differentiate between impactful and non-impactful events deteriorates
Solution Approach 1:
The system transitions from static fixed thresholds to dynamic adaptive thresholds. Alarm thresholds are continuously adjusted based on real-time measurements of voltage events and their observed impact on loads. This dynamic approach enables the system to differentiate between impactful and non-impactful events by learning from actual system responses rather than relying on predetermined fixed values.
Solution Approach 2:
The system implements feedback loops where alarm thresholds are adjusted based on measured outcomes. When voltage events occur, the system monitors their impact on loads and uses this feedback to refine future threshold settings. This closed-loop approach improves event differentiation capability while keeping the system relatively simple through automated learning rather than complex manual rules.
Data Source
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AI summary
A method for managing voltage event alarms in an electrical system includes processing electrical measurement data from energy-related signals captured by at least one intelligent electronic device (IED) of a plurality of IEDs to identify an anomalous voltage condition at a point of installation of a respective one of the plurality of IEDs in the electrical system. In embodiments, the anomalous voltage condition corresponds to a measured IED voltage being above one or more upper alarm thresholds or below one or more lower alarm thresholds. The method also includes determining if the electrical system is affected by the identified anomalous voltage condition. In response to determining that the electrical system is not affected by the identified anomalous voltage condition, at least one of the one or more upper alarm thresholds or at least one of the one or more lower alarm thresholds may be adjusted to the measured IED voltage.