Research On Multi-dimensional Data Aggregation Of Smart Grid Based On Fog Computing

Smart grid uses emerging Internet of Things technology in the power system to collect system data to analyze grid power demand and system status.With the rapid development of smart grid,massive real-time data needs to be frequently transmitted from smart meters to cloud servers for processing,which promotes the application and deployment of cloud computing-based smart grid systems.Adding intermediate fog nodes between cloud servers and smart meters has become an important trend to improve cloud computing performance.However,while the fog computing architecture brings performance improvement,how to efficiently collect and process data on the premise of protecting the security and privacy of big data in the smart grid has become an important issue that needs to be solved urgently for the smart grid based on fog computing.This paper studies and solves the problem that the current fog computing-based smart grid data aggregation schemes are prone to single point failure of fog nodes,and has high computation cost and communication overhead.The main work includes the following aspects:(1)A smart grid multi-dimensional data aggregation scheme for single point of failure is proposed.Based on the fog computing smart grid system model with fog clusters,this paper designs a fog node allocation strategy.A fog group containing multiple fog nodes is corresponding to multiple smart meter sub-areas,and the fog nodes in the fog group are assigned for data aggregation by using the dynamic priority method to reduce the risk of single point failure.Furthermore,a privacy preserving multi-dimensional data aggregation scheme is proposed,which supports smart meters to report multiple types of data to the control center at a time to achieve efficient data processing.Security analysis shows that this scheme can better satisfy the security.The performance analysis shows the advantages of this scheme in computation.(2)Based on the fog computing smart grid model without trusted authority,this paper proposes an efficient multi-dimensional data aggregation scheme,which not only reduces communication links,but also ensures the security of data aggregation.The scheme adopts the elliptic curve encryption mechanism,supports data encryption without relying on trusted authority,reduces a large amount of communication overhead due to key distribution;Furthermore,the bilinear pairing technology of batch verification is used to achieve efficient identity verification;Security analysis proves that the smart grid’s efficient multi-dimensional data aggregation scheme without trusted authority can achieve data privacy and security;ensure that users’ personal information cannot be obtained during the data aggregation.The performance analysis shows that this scheme has lower computational cost and communication overhead compared with the existing scheme.