Power Distribution Frequency Monitoring With Moving Average Filtering
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Solution Overview
Problem
Traditional electrical power distribution monitoring systems face challenges in accurately capturing rapid fluctuations in electrical parameters due to limitations in sensing and data processing capabilities, leading to inefficiencies and potential operational instability.
Innovation Solution
An intelligent electronic device employing state-of-the-art sensors, analog-to-digital converters, and processing modules with customized moving average filters to refine frequency measurements, combined with a user interface for configuration and data logging, and a communication interface for alerts and remote access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring devices are used, then device simplicity is maintained, but measurement precision deteriorates due to inability to capture rapid fluctuations
Solution Approach 1:
The system segments the frequency measurement process into multiple discrete steps: analog signal acquisition from sensors, analog-to-digital conversion, application of moving average filters in the digital domain, and final frequency calculation. This segmentation allows each component to be optimized independently, achieving high measurement precision through coordinated specialized functions while maintaining manageable overall system complexity.
Solution Approach 2:
The patent introduces digital signal processing techniques, specifically moving average filters, as an intermediary between the raw analog sensor signals and the final frequency measurement. This intermediary layer filters out noise and rapid fluctuations that would otherwise corrupt the measurement, enabling accurate frequency detection without requiring complex hardware modifications to the sensors themselves.
2Reliability
If traditional sensing capabilities are used, then device complexity is reduced, but reliability deteriorates due to inability to detect rapid parameter fluctuations
Solution Approach 1:
The system replaces traditional mechanical or simple electronic sensing approaches with a digital-based measurement system. Analog sensors capture the electrical parameters, which are then converted to digital signals and processed using software-based moving average filters. This substitution of digital processing for traditional mechanical/electronic processing enhances reliability by providing more robust noise rejection and measurement stability, while the modular digital architecture keeps complexity manageable.
3Measurement precision
If no signal filtering is applied, then processing speed is maintained, but measurement precision deteriorates due to noise and short-term fluctuations
Solution Approach 1:
The patent applies moving average filters that dynamically process the digital frequency data by calculating the average over a specified window of recent measurements. This parameter-based filtering approach smooths out short-term fluctuations and noise while preserving the underlying frequency trend. The method achieves this without requiring complex computational algorithms, thus minimizing processing time overhead while significantly improving measurement precision.
Data Source
AI summary
This invention pertains to an intelligent electronic device designed for sophisticated monitoring and analysis of electrical power distribution. The device integrates at least one sensor for detecting electrical parameters from a distribution system to a load, coupled with an analog-to-digital converter to transform sensed analog signals into digital data. A processing module, linked to the converter, employs customized moving average filters to calculate the frequency of electrical power distribution, enhancing measurement accuracy by adjusting for transient fluctuations. It retrieves frequency threshold settings from memory to define operational bounds, logging frequency data around identified deviation events when measurements surpass these thresholds. This system facilitates precise frequency analysis and robust event logging, providing a comprehensive solution for maintaining electrical power distribution within defined standards.