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Quantitative Prediction Method for Distribution Power Grid Risk
- Source :
- E3S Web of Conferences, Vol 236, p 01014 (2021)
- Publication Year :
- 2021
- Publisher :
- EDP Sciences, 2021.
-
Abstract
- The electric power distribution grid is directly oriented to the majority of the ordinary users. Traditional operation and maintenance are performed mainly based on experience, which disable to rationally evaluate the status of the line and predict faults. Based on big data, the risk of the line is evaluated through principal component analysis in this paper, so that a machine learning algorithm is carried out to calculate the risk value of the distribution grid line unit. Finally, GA-BP neural network is used to build a line risk value prediction model for improvement.
- Subjects :
- Environmental sciences
GE1-350
Subjects
Details
- Language :
- English, French
- ISSN :
- 22671242
- Volume :
- 236
- Database :
- Directory of Open Access Journals
- Journal :
- E3S Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.93db5799ce42bd933988b2ee38d14a
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/e3sconf/202123601014