Paper Info
Title
Operational Reliability Evaluation Method Based on Big Data Technology
Abstract
This paper focuses on using big data technology to solve the operational reliability evaluation problem in the power distribution system. Operational reliability evaluation means the capability to forecast the future reliability from the current system. This becomes a challenge problem as the power distribution network has been even more complex. Meanwhile, the safety and reliability are considered more and more critical for the network. Therefore, it needs to new approach to evaluate the operational state of power distribution system. For such a purpose, this paper proposes an operational reliability evaluation method based on the big data of distribution network and big data processing technology. Based on the operational reliability index system of distribution network, this paper firstly analyzed the main influencing factors of each reliability indexes by using parallel association rules mining method. Then, by using these factors as input variables, an evaluation model was established based on artificial neural network. Based on the evaluation model and real-time data, the operational reliability can be obtained.
Year
DOI
Venue
2016
10.1109/CyberC.2016.71
2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
Keywords
Field
DocType
operational reliability,association rules mining,parallel computing,artificial neural network
Big data processing,Computer science,Distribution system,Distribution networks,Index system,Association rule learning,Operational reliability,Artificial neural network,Big data,Reliability engineering
Conference
ISBN
Citations 
PageRank 
978-1-5090-5155-7
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Lijuan Hu101.35
Ke-yan Liu212.44
Yinglong Diao311.42
Xiaoli Meng400.68
Wanxing Sheng51310.44