The design and implementation of smart grid high volume data management platform architecture
Zhihui Yang, Qin Yuan Zhou, Andy Guo, Peter Xiaopei Cheng, Yan Gao · 2014
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.