Method of Pre-warning and Identifying Fault of Relay Protection of Intelligent Substation
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Solution Overview
Problem
Existing methods for fault identification in relay protection of intelligent substations are inadequate in distinguishing secondary circuit and interlocking faults, particularly due to the invisible nature of secondary circuits, leading to difficulties in pre-warning and timely response.
Innovation Solution
A method involving fault diagnosis of hardware and software components using MATLAB-based anti-false pre-warning platforms, which classifies signals, calculates Euclidean distances, and identifies fault areas through abnormal data detection and power direction sum analysis to provide accurate pre-warning information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fault diagnosis methods are used in intelligent substation relay protection, then the system structure remains simple, but the ability to distinguish secondary circuit and interlocking faults is insufficient
Solution Approach 1:
The fault diagnosis method segments the relay protection system into distinct components: hardware input signals, software processing, and secondary circuits. Each segment is diagnosed separately through specific detection methods, allowing precise identification of fault locations and types without requiring complete system overhaul or excessive complexity
Solution Approach 2:
The patent introduces an intermediary diagnostic platform that mediates between the complex relay protection system and the analysis process. This platform integrates multiple detection methods and provides a unified interface for fault analysis, reducing the complexity burden while maintaining high identification accuracy
2Reliability
If comprehensive hardware and software fault diagnosis is implemented, then fault identification capability is improved, but the difficulty of detecting and measuring faults increases
Solution Approach 1:
The diagnostic system performs preliminary actions by continuously monitoring and analyzing signal characteristics before actual faults manifest. The method establishes baseline parameters for normal operation and compares real-time data against these baselines, enabling early detection and reducing the difficulty of fault identification when they occur
Solution Approach 2:
The patent implements feedback mechanisms where diagnostic results are fed back into the system for continuous improvement. The analysis of fault patterns and characteristics is used to refine detection algorithms and adjust monitoring parameters, making subsequent fault detection easier while maintaining high reliability
3Measurement precision
If Euclidean distance calculation and abnormal data detection are used for hardware fault diagnosis, then measurement precision is improved, but calculation complexity increases
Solution Approach 1:
The diagnostic method applies partial action by selectively using Euclidean distance calculation only for specific signal classification tasks where it provides the most value. Not all signal processing steps use this computationally intensive method, but only those requiring precise classification, thereby balancing measurement precision with computational power requirements
Data Source
AI summary
A method of pre-warning and identifying a fault of relay protection of an intelligent substation is provided, which is specifically carried out according to following steps. Step 1: performing fault diagnosis on hardware input signals of relay protection equipment; step 2: performing software fault diagnosis on a relay protection device; step 3: developing a MATLAB-based anti-false pre-warning platform for the relay protection of the intelligent substation by combining step 1 and step 2; and step 4: based on the MATLAB-based anti-false pre-warning platform for the relay protection of the intelligent substation, according to fault recording sampling information of the substation, accurately identifying a fault area, pre-judging a possible action situation of protection, and giving pre-warning information.