Fuzzy clustering analysis-based power distribution network fault line selection method
A fuzzy clustering analysis, distribution network fault technology, applied in fault location, measurement of electricity, measurement of electrical variables, etc. Line selection accuracy, strong anti-interference, and the effect of increasing fault signals
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0025] Based on the fuzzy clustering line selection algorithm based on the zero-sequence current active component variation, take the judgment of whether the 611 line on the 1# main transformer on the 6kV side of the Zhaocun substation in Zhongyuan Oilfield is an example. The work flow chart is as follows figure 1 As shown, the following steps are taken:
[0026] 1. Monitor the bus voltage in real time. When a certain phase voltage is 0, it is judged that a single-phase grounding short circuit fault has occurred. Table 1 below shows several fault lines with historical faults;
[0027] Table 1 Fault number corresponding fault circuit table
[0028]
[0029] According to the fault recording and broadcasting diagram, the zero-sequence voltage of the busbar and the active component of the zero-sequence current of each outgoing line are determined as shown in Table 2 below:
[0030] Table 2 Zero-sequence voltage and zero-sequence ammeter for different faults
[0031]
[003...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com