Dynamic Tolerance Curves for Power Quality Event Analysis
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Solution Overview
Problem
Current methods for analyzing power quality events in electrical systems are inadequate in addressing non-periodic and long-duration issues, leading to significant economic losses and operational disruptions, as they fail to provide real-time, comprehensive data-driven insights for optimizing system resilience and sensitivity.
Innovation Solution
A method and system utilizing a network of metering devices to process electrical measurement data, generating dynamic tolerance curves that characterize system responses, allowing for real-time analysis and adjustment of power quality events, and providing actionable recommendations for improving system resilience and sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional power quality analysis methods are used, then periodic power quality issues can be detected, but non-periodic and long-duration power quality issues cannot be effectively addressed
Solution Approach 1:
The patent implements dynamic tolerance curves that adapt to different power quality event types and durations, transitioning from static analysis methods to dynamic ones that can handle both periodic and non-periodic events, as well as short and long-duration events
Solution Approach 2:
The system changes analysis parameters based on event characteristics, using different evaluation criteria for different event types (sags, swells, interruptions, transients) and durations, enabling versatile detection across all power quality event categories
2Loss of information
If comprehensive real-time data processing is implemented, then power quality events can be analyzed effectively, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the electrical system into multiple metering points, each with its own tolerance curve, allowing distributed data collection and processing that reduces central system complexity while maintaining comprehensive coverage
Solution Approach 2:
The system processes data at appropriate levels of detail for each event type, using full comprehensive analysis only when necessary, and applying simplified evaluation methods for routine events, thereby balancing completeness with computational efficiency
3Measurement precision
If dynamic tolerance curves are generated for multiple metering points, then system response characteristics can be characterized accurately, but data processing time and computational resources increase
Solution Approach 1:
The patent pre-generates tolerance curves for each metering point based on historical data and system characteristics, so that when power quality events occur, the analysis can be performed rapidly by comparing against pre-established curves rather than calculating in real-time
Solution Approach 2:
The system creates standardized tolerance curve templates that can be copied and adapted across multiple metering points, reducing the computational burden of generating unique curves for each location while maintaining accuracy through localized adjustments
Data Source
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AI summary
A method for analyzing power quality events in an electrical system includes processing electrical measurement data from or derived from energy-related signals captured by at least one of a plurality of metering devices in the electrical system to generate or update a plurality of dynamic tolerance curves. Each of the plurality of dynamic tolerance curves characterizes a response characteristic of the electrical system at a respective metering point of a plurality of metering points in the electrical system. Power quality data from the plurality of dynamic tolerance curves is selectively aggregated to analyze power quality events in the electrical system.