Power distribution network information physical side risk early warning method and system
A technology of information physics and risk early warning, applied in the field of distribution network, can solve the problems of false early warning of weak links on the information physical side of distribution network, low risk level prediction accuracy, etc., to improve calculation efficiency and early warning accuracy, and improve risk prediction accuracy , The effect of reducing the probability of false alarm
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0060] This embodiment provides a risk early warning method on the physical side of distribution network information, such as figure 1 shown, including:
[0061] S1: Based on the risk factor category, the risk factor feature set is obtained from the risk data source on the information physical side of the distribution network, and the optimal risk factor feature set is obtained by screening.
[0062] 1. Investigate CPS risk data sources:
[0063] Through the power grid GIS platform, marketing business application system, power quality monitoring system / power consumption information collection system, equipment (asset) operation and maintenance lean management system, dispatching automation system, OMS / SCADA system and meteorological information in the distribution network information management system Schematic representation of systematic surveys, risk data sources, and multifactorial feature sets, such as figure 2 shown.
[0064] The corresponding fault data, operation d...
Embodiment 2
[0109] This embodiment provides a distribution network information physical side risk early warning system, the system includes:
[0110] Optimal feature set acquisition module: Based on the risk factor category, the risk factor feature set is obtained from the risk data source on the information physical side of the distribution network, and the optimal risk factor feature set is obtained by screening;
[0111] Risk level prediction module: Bring the optimal risk factor feature set into the pre-built risk level online prediction model to obtain the current distribution network information physical side operation risk level;
[0112] Early warning module: perform early warning processing based on the risk operation level;
[0113] The categories of risk factors include: failure data, operation data, archive data, meteorological data and network data;
[0114] The risk factor feature set: power outage time, power outage times, configuration capacity, line length, temperature, ...
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