Automatic Phase Detection in Low-Voltage Networks
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Solution Overview
Problem
Existing methods for automatic phase detection in low-voltage networks are inefficient, often requiring manual intervention and are prone to errors due to noise and interference, especially in decentralized energy systems with renewable sources, which complicates network stability and management.
Innovation Solution
A method that collects measured values from measuring units over a predetermined observation period, synchronizes them, and uses independent classifiers, such as support vector machines, to automatically assign phases with high reliability, reducing manual effort and increasing accuracy through iterative classification and frequency evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual phase assignment methods are used, then phase detection can be performed, but the process is time-consuming and error-prone
Solution Approach 1:
The system automatically performs phase detection using measured values from measuring units without requiring manual intervention. The automatic phase detection unit processes the data independently, assigning phases based on algorithmic analysis of voltage curves and measured values, thereby eliminating time-consuming manual operations while maintaining high accuracy
Solution Approach 2:
The patent replaces manual mechanical phase assignment with an automated computational system. The automatic phase detection unit uses electronic processing of measured values, time stamps, and voltage curve analysis to substitute human operators, significantly reducing time loss while improving consistency and accuracy of phase detection
2Productivity
If simple phase detection methods are used, then the process is fast, but reliability is reduced due to noise and interference
Solution Approach 1:
The system collects measured values over a predetermined observation period before performing phase detection. This preliminary data collection phase allows the system to accumulate sufficient information and filter out noise, ensuring reliable phase detection results while maintaining efficient processing speed through pre-organized data structures
Solution Approach 2:
The automatic phase detection unit continuously receives measured values with time stamps and compares them against detected phases, adjusting detections based on feedback from the observation period data. This feedback mechanism filters noise and interference while maintaining real-time detection capability, balancing reliability and productivity
3Ease of operation
If automated phase detection is implemented, then manual effort is reduced, but system complexity increases
Solution Approach 1:
The automatic phase detection unit serves multiple functions: collecting measured values, analyzing voltage curves, detecting zero crossings, assigning phases, and validating results within a single integrated system. This multi-functionality reduces the need for separate manual operations while managing system complexity through unified processing logic
Solution Approach 2:
The patent introduces an automatic phase detection unit as an intermediary between measuring units and the control system. This intermediary component automates the complex phase detection process, shielding upper-level systems from complexity while providing ease of operation through standardized interfaces and automatic processing
4Productivity
If phase assignment is not verified, then processing is faster, but errors remain undetected
Solution Approach 1:
The system performs phase detection and verification on a selective basis during the observation period, rather than continuously verifying every measurement. This partial verification approach maintains high processing speed while detecting and correcting phase assignment errors, balancing productivity with measurement precision through strategic validation points
Data Source
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AI summary
The invention relates to a method for the automatic phase detection of measured values. These measured values are measured phase-wise by measuring units (M1-M7) installed in a low-voltage network (NN) with several – typically three – phases. The measured values from the measuring units (M1-M7) are time-stamped and forwarded at regular intervals to at least one data concentration unit (DK). The measured values from the measuring units (M1-M7) are collected for a predefined observation period (102), wherein the predefined observation period is divided into several time periods and the measured values are assigned to the respective time periods based on their timestamps (105).Based on reference measurements provided by reference measurement units (R1, R2, R3) for the observation period, and whose phase affiliation is known, an independent classifier is generated for each time segment of the observation period (106). Based on the respective independent classifier, corresponding phases are then assigned to the measured values of the respective time segment (107). The method according to the invention thus enables automated recognition of the phase affiliation of the respective measured values and can, for example, be used as a basis for subsequent analyses with regard to actual network utilization, network stability, and/or network disturbances.