Phasor-Based Floating Neutral Localization in Power Distribution Grids
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Solution Overview
Problem
Floating neutral faults in power distribution grids are difficult to detect using existing low-cost sensors, leading to potential safety hazards and power quality issues, and there is a need for robust and reliable detection methods using measurements from existing equipment.
Innovation Solution
The implementation of advanced inference algorithms utilizing phasor measurements to detect and localize floating neutrals in medium voltage power distribution networks, employing methods such as statistical classifications, message passing algorithms, and voltage-based classifications, which process information from waveforms monitored at power distribution substations and end consumer meters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing low-cost sensors are used for fault detection, then device complexity and cost are reduced, but measurement precision and reliability of floating neutral fault detection deteriorate
Solution Approach 1:
The patent introduces an intermediary processing system that takes measurements from existing low-cost sensors and applies advanced algorithms (statistical classification, message passing algorithms, voltage-based classification) to extract fault information. This intermediary layer enables high-precision floating neutral detection without requiring expensive specialized sensors, resolving the contradiction between sensor cost/complexity and detection precision.
2Measurement precision
If advanced inference algorithms are implemented, then floating neutral detection precision is improved, but device complexity and computational requirements increase
Solution Approach 1:
The system performs self-diagnosis and self-characterization by automatically analyzing sensor data through multiple algorithms to identify floating neutral faults and their locations. The algorithms self-adjust and process data autonomously without requiring complex external control systems, achieving high detection precision while managing computational complexity through automated self-service processing.
3Reliability
If real-time monitoring of phasor data is implemented, then fault detection speed and reliability are improved, but bandwidth requirements and data processing load increase
Solution Approach 1:
The system extracts only the essential fault-related information from the phasor data using advanced algorithms, rather than transmitting and processing all raw data. By taking out only the critical features needed for floating neutral detection through statistical classification and message passing algorithms, the system achieves high reliability while reducing bandwidth requirements and data processing loads.
Data Source
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AI summary
The present disclosure pertains to novel systems and methods that incorporate advanced inference algorithms can be developed to detect floating neutrals using phasor measurements. In one aspect, the present disclosure relates to the use of phasor measurements to detect and localize floating neutrals in a distributed power network.