Cloud Computing Placement Optimization Under Ubiquitous Power Internet of Things Background

With the development of power system and the introduction of the Energy Internet, the implementation of Ubiquitous Power Internet of Things (UPIoT) is necessary for power utilities to meet the demands of Integrated Energy Applications. Massive heterogeneous data from various devices surge into power system via UPIoT, which puts heavy burden on data processing capabilities of power system. Cloud computing is an effective measure to provide big data processing capabilities and the establishment of cloud computing for power system is of great significance. Firstly, the architecture of UPIoT and the cloud computing system based on UPIoT background are analyzed. Considering the characteristics of power system, a distributed cloud computing architecture for power system is proposed. A coordinated placement optimization strategy based on minimum cost and satisfaction of quality of service for the proposed architecture is formulated. Based on a given case, the placement optimization simulations are studied. The simulation results prove that the proposed architecture is cost-efficient and the proposed optimization strategy is effective and efficient.