Title :
The design and implementation of smart grid high volume data management platform architecture
Author :
Zhihui Yang ; Qin Zhou ; Ma, Andy Guo ; Cheng, Peter Xiaopei ; Yan Gao
Abstract :
This paper presents a new architecture of high volume data management platform which could integrate the data generated by smart grid effectively and provide the cross-department analytical applications and enterprise-wide decision-making support. The designed and developed architecture consists of five major components - unified data model; characteristics-based data clustering management; multi-bus data transfer scheme; real-time event process; and data services. The scenario simulation results and case studies show the effectiveness of the designed architecture, and the architecture´s optimized performance meets the smart grid high volume data management requirement.
Keywords :
decision making; electronic data interchange; real-time systems; smart power grids; characteristics-based data clustering management; cross-department analytical applications; data services; enterprise-wide decision-making support; high volume data management platform; multibus data transfer scheme; real-time event process; smart grid; unified data model; Biographies; Companies; Phasor measurement units; Smart grids; Standards; Testing; Throughput; Data Clustering Management (DCM); Real-time event Processing; data services; high volume data platform; multi-bus data transfer scheme; unified data model;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2014.6816390