
Research Article
Research About Solutions to the Bottleneck of Big Data Processing in Power System
- @INPROCEEDINGS{10.1007/978-3-319-44350-8_5, author={Ning Chen and Chuanyong Wang and Peng Han and Jian Zhang and Kun Wang and Ergang Dai and Wenwen Kang and Fengwen Yang and Baofeng Sun and Guang Guo}, title={Research About Solutions to the Bottleneck of Big Data Processing in Power System}, proceedings={Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers}, proceedings_a={INDUSTRIALIOT}, year={2016}, month={9}, keywords={Power system Big data Cloud computing}, doi={10.1007/978-3-319-44350-8_5} }
- Ning Chen
 Chuanyong Wang
 Peng Han
 Jian Zhang
 Kun Wang
 Ergang Dai
 Wenwen Kang
 Fengwen Yang
 Baofeng Sun
 Guang Guo
 Year: 2016
 Research About Solutions to the Bottleneck of Big Data Processing in Power System
 INDUSTRIALIOT
 Springer
 DOI: 10.1007/978-3-319-44350-8_5
Abstract
The big data technology provides a new opportunity to the electric power system in various fields. In view of the shortage in traditional power system computing platform in computing, storage, information integration and analysis, this article puts forward a platform of power system based on cloud computing. Firstly, this paper outlines the development of power system can produce a large amount of data, and cloud computing technology is widely used in big data processing as a kind of new model, we can take chance of its application in power system. This paper discusses the relationship between cloud computing, big data and power system, and makes the conclusion that cloud computing technology can meet the demand of mass data storage and computing power system. Then we do research about the architecture, software technology of cloud platform system in electric power system. Finally, the feasibility of the application and development trend were discussed.


