Research on data storage strategy using cloud GIS in smart grid
Cloud computing as a product of the era of big data,and its decision-making work analysis,storage and processing method can meet with the require of smart grid monitoring software running reliability and scalability.However,the requirements of the platform on performance of real-time,consistency,data privacy and security cant be satisfied by the existing cloud computing platform.As an information management platform,the GIS platform is equipped with spatial analysis capabilities,and most of the grids power grid resources can be connection with spatial locations.Therefore,the combination of the GIS and Cloud computing can realize the input,storage,query,retrieval,processing,analysis,display and update of grid resource data and spatial data for the entire smart grid.Therefore,the input,storage,query,retrieval,processing,analysis,display and update of grid resource data and spatial data for the entire smart grid can be realized by the combination of the GIS and Cloud computing.But the current plan for the construction of power cloud GIS platform does not involve specific data storage and management methods.In view of the above issues,this paper proposes a storage strategy based on the GIS smart grid platform.Different storage methods have different advantages and disadvantages.So,the big data in the system must be classified and stored according to the performance and analysis requirements.Real-time data with very high performance requirements,such as power grid operation and equipment data,adopt real-time file system to meet the real-time performance of the data.For core business data,such as such grid marketing data,adopt traditional parallel file systems to meet the reliability of this type of data.Unstructured data,such as GIS data and Monitor video data and power enterprise management data,use a distributed file system to satisfy the large number of such data.Compared with the existing grid data,most of them use a single storage strategy,storage strategy proposed in this paper according to the characteristics of different types of data has obvious advantages on the performance of processing data.
Data storage strategy GIS Cloud computing Smart grid
Yuanxin LE Li ZHU Minghu WU Min WU Shuai HUANG Songnan LV
Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System,Hubei University of Technology,No.28,Nanli Road,Hong-shan District,Wuchang,Wuhan,Hubei Province,P.R.China
国际会议
武汉
英文
46-51
2018-08-21（万方平台首次上网日期，不代表论文的发表时间）