Reliable data storage and highly efficient management are needed when big data is generated from power generation

transmission

distribution

and new energy access and consumption. Taking the Energy Internet as a virtual application scenario

this paper proposes a cluster storage scheme for multi-source heterogeneous data. In order to meet the needs of efficient query in the cluster storage

a hierarchical indexing model based on the actual range tree (AR-tree) is developed. And the AR-tree indexing method for multi-source heterogeneous data sources is proposed. This method is based on the double layer index model

in which the global index is developed by taking the actual indexing range of local data as the object. Also

the operation cost of the AR-tree indexing method is comprehensively analyzed. Finally

the simulation results show that the AR-tree indexing method is able to improve the query hit ratio and efficiency. This work is supported by National Natural Science Foundation of China (No. 51507063).