Mains Frequency Detection Using Phase Interval Analysis

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Solution Overview

Problem

Mains analyzers face difficulties in accurately determining the mains frequency in voltage signals with high harmonic levels, often resorting to nominal frequencies which compromise measurement accuracy.

Innovation Solution

A method involving the calculation of two phases using the discrete Fourier transform and a window function to derive the mains frequency, allowing for precise determination even in signals with high harmonics, by adjusting the sample frequency through iterations until the desired accuracy is achieved.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If voltage zero crossings are evaluated to derive mains frequency, then frequency detection is possible, but additional zero crossings from harmonics make it difficult to derive the period duration accurately

Engineering Contradiction:
Improvemains frequency detection accuracyVSAvoidperiod duration derivation difficulty
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent extracts only the fundamental frequency component from the voltage signal by using Fourier transform to separate it from harmonic components. This allows accurate period duration derivation by focusing exclusively on the fundamental frequency's zero crossings, eliminating the interference from additional zero crossings caused by harmonics.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs preliminary Fourier transform analysis to identify and isolate the fundamental frequency component before deriving the period duration. This preliminary separation of the fundamental frequency from harmonics enables accurate frequency detection without the confusion of multiple zero crossings.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If a nominal frequency is taken as a basis for data capture when harmonics are present, then measurement process continues, but the accuracy of actual measurements is harmed

Engineering Contradiction:
Improvemeasurement process continuityVSAvoidmeasurement accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the measured fundamental frequency is continuously updated and used to adjust the measurement process. Instead of relying on a fixed nominal frequency, the system measures the actual fundamental frequency through Fourier transform and uses this feedback to maintain both productivity and accuracy even in the presence of harmonics.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent dynamically changes the frequency parameter from a fixed nominal value to a dynamically measured fundamental frequency. By using Fourier transform to continuously determine the actual fundamental frequency and adjusting measurements accordingly, the system maintains measurement accuracy while ensuring continuous operation.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If Fourier transform is used to separate fundamental frequency from harmonics, then accurate frequency detection is achieved, but computational complexity increases

Engineering Contradiction:
Improvefrequency detection accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies partial Fourier transform analysis by focusing only on the frequency range relevant to the fundamental frequency (50Hz ± a small deviation range). Instead of performing a complete spectral analysis of all frequency components, the method selectively analyzes only the necessary portion of the spectrum, reducing computational complexity while maintaining accurate fundamental frequency detection.

Inventive Principle:
Principle #16Partial or excessive action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables reliable and accurate determination of mains frequency in voltage signals with high harmonic levels, improving measurement precision and reliability.

Implementation Method 1

a first phase φ1(X) is ascertained on the basis of the formula [Fourier transform formula] where l=0, 1, . . . and w (n) is a window function

Methodology Applied
Scientific EffectDiscrete Fourier transform:

Data Source

PatentUS8024143B2Method for ascertaining a mains frequency in a voltage signal, and mains analyzer
Publication Date: 2011.09.20 SIEMENS AG
  • US8024143B2 patent drawing
  • US8024143B2 patent drawing
  • US8024143B2 patent drawing

AI summary

A method for ascertaining a mains frequency from a voltage signal which has a particularly high proportion of harmonics includes stipulating a sample frequency for a sample collection, polling a voltage signal at equidistant times during periods of the sample oscillation. A discrete Fourier transform may be used to calculate two phases, and a phase interval between these two phases is used to infer the mains frequency.