Discussion on Security Management and Control Mechanism based on Power System Big Data Platform

被引:0
|
作者
Tong Xinyu [1 ]
Song Xingwang [1 ]
Yang Qiaochuan [1 ]
机构
[1] Chengxi Branch Co, State Grid Tianjin Elect Power Co, Tianjin, Peoples R China
关键词
Big data; Auto-regressive moving average model; Neural Network; Dispatching operation; Risk management and control;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the rapid development of power grid, a large number of applications of intelligent equipment, and there might be massive, multivariate and complex data during the power grid regulation and operation, resulting in that power grid security control is facing new opportunities and challenges. In this paper, we first applied the data analysis methods such as time series and clustering to make descriptive and predictive analysis of massive data in power system. In addition, we further discovered the data association and potential additional value based on cloud computing technology, realizing real time data information of power system with cloud computing technology and reaching platform integration of "Collection-Identification-Processing-Integration". Secondly, in order to truly realize the power grid operation under risk control, controllability and long-term in control, based on the integrated platform we explored the establishment of a set "proactive prevention beforehand, active response in the process, and proper disposal afterwards" all-round power grid operation safety management and control mechanism. Finally, the feasibility of the proposed security management and control mechanism was verified by a typical case in Tianjin region.
引用
收藏
页码:1168 / 1173
页数:6
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