Power Quality Event Characterization Using Distributed IED Networks
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Solution Overview
Problem
Power quality issues in electrical systems are costly and widespread, with 80% of disturbances generated within facilities, causing significant economic losses and operational disruptions, and existing technologies struggle to effectively characterize and mitigate these issues across different points in an electrical system.
Innovation Solution
A method and system for characterizing power quality events by processing electrical measurement data from intelligent electronic devices (IEDs) to identify and quantify events at one point of installation and determine their impact at another, using a network of IEDs to capture and analyze voltage and current signals, and communicate triggers and timestamps to enable automatic responses and recovery actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single IED is used to capture power quality events, then the device complexity is reduced, but the ability to characterize events across different points in the electrical system is insufficient
Solution Approach 1:
The electrical system is divided into multiple monitoring zones with IEDs strategically placed at different points. Each IED independently captures local power quality events, and the central system aggregates data from all segments to provide comprehensive system-wide characterization.
Solution Approach 2:
A central processing system acts as an intermediary that receives data from multiple IEDs, correlates events across different locations, and provides unified power quality characterization. This mediator integrates information from distributed sensors to overcome the limitations of single-point monitoring.
2Measurement precision
If multiple IEDs are deployed throughout the electrical system, then the measurement precision and coverage of power quality events is improved, but the device complexity and cost increase
Solution Approach 1:
Each IED in the network is designed with multi-functional capabilities to capture various power quality parameters (voltage, current, frequency, harmonics) simultaneously. This universal design reduces the need for specialized devices at different locations and simplifies the overall system architecture.
Solution Approach 2:
IEDs are equipped with autonomous event detection and preliminary analysis capabilities, allowing them to self-identify power quality events and trigger notifications without requiring constant central system intervention. This reduces the processing burden on the central system and enables faster local response.
3Loss of information
If IEDs are configured to capture all power quality events, then the measurement completeness is improved, but the difficulty of detecting and measuring specific events increases due to data volume
Solution Approach 1:
IEDs perform preliminary filtering and classification of power quality events based on predefined criteria before transmitting data to the central system. This preliminary action reduces the volume of data requiring detailed analysis and ensures that only relevant events are flagged for further investigation.
Solution Approach 2:
The system implements feedback mechanisms where the central processing system analyzes aggregated data and adjusts detection thresholds and parameters for individual IEDs based on observed patterns. This adaptive feedback optimizes the detection sensitivity and reduces false positives while maintaining complete event capture.
Data Source
AI summary
A method for quantifying power quality events in an electrical system including a plurality of intelligent electronic devices (IEDs) includes processing electrical measurement data from or derived from energy-related signals captured by at least one first IED of the plurality of IEDs to identify a power quality event at a first point of installation of the at least one first IED in the electrical system. An impact of the power quality event at a second point of installation in the electrical system is determined based on an evaluation of electrical measurement data from or derived from energy-related signals captured by at least one second IED of the plurality of IEDs at the second point of installation proximate to a determined time of occurrence of the power quality event at the first point of installation.