
Big Data Storage Technology suitable for the Operation and Maintenance of New Generation Power Grid Dispatching Control System Operation
Author(s) -
Zhonggang Yin,
Yansheng Lang,
Song Yang,
Kun Zhao,
Peng Liu,
Hao Feng
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/4/042084
Subject(s) - big data , computer science , database , computer data storage , sql , control (management) , grid , distributed computing , systems engineering , operating system , engineering , geometry , mathematics , artificial intelligence
The new generation of power grid dispatching control system draws on the cloud computing concept for reference, adopts a new overall architecture of “physically distributed and logically uniform”. It applies a large number of new technologies, enhances the relevance of various applications of the new system, and rapidly expands the application data scale, making the operation and maintenance of the power grid dispatching control system increasingly complicated. At present, the State Grid Corporation of China is carrying out research on operation and maintenance technology of dispatching control system based on historical big data mining. In the face of the collection and aggregation of a large number of operation history data and operation indexes of dispatching control system, the traditional relational database is facing great challenges. This paper discusses the data storage technology supporting big data, and through analyzing the characteristics of big data storage and the existing typical databases of NO SQL and NewSQL, puts forward a data storage technology that can meet the needs of mass operation and maintenance data storage and high-speed access of the new generation of power grid dispatching control system.