Research On The Privacy Protection Method Of Power Consumption Information In Smart Home

The construction of smart grid is the only way for the development of energy Internet,which is regarded as the ultimate form of smart grid.Smart home,as an important part of smart grid,is widely distributed.The two-way information exchange between smart home and power control center is the key to realize the smart grid.The scattered power consumption information of smart home needs to be collected and sent to the power control center.However,when smart meters collect users’ fine-grained real-time electricity data and upload it to the control center,it will lead to the leakage of users’ privacy,including working time,out time,home appliance usage,etc.The existing schemes realize privacy protection through signcryption,data aggregation and so on,but most of them use elliptic curve bilinear pair operation or exponential operation,which results in high computation cost.Therefore,how to reduce the cost of electricity while ensuring the privacy of smart home is a hot research issue in recent years.In order to solve the above problems,an aggregated ring signcryption algorithm to ensure the power privacy of smart home is proposed in this paper,and the consortium blockchain technology is used to ensure the integrity of the power privacy of smart home;and then a smart home optimal scheduling scheme is designed to ensure the user’s privacy at the same time.The specific research work is as follows:Firstly,a privacy protection scheme for smart meters based on consortium chain is proposed in this paper,which is suitable for distributed smart home environment.The elliptic curve point multiplication is only used in the certificateless aggregated ring signcryption algorithm,which reduces the computation and communication costs.Then,the consortium blockchain is used to store user data,which solves the problem of single point failure and data tampering.Secondly,a 5G smart home electricity optimal scheduling scheme which takes demand response and privacy protection into account is proposed in this paper,and two kinds of smart home electricity load models under demand response is established,which not only reduces the user’s electricity cost,but also ensures the stability of the power system;uses the fuzzy user’s electricity data of electric vehicle energy storage to ensure the user’s privacy,and uses BAS algorithm to get the op timal solution,which enables users to measure between electricity costs and privacy.The5 G technology is introduced to ensure the real-time and efficient transmission of power consumption data and demand response signal.Finally,theoretical analysis proves that the privacy protection scheme of smart home has confidentiality and unforgeability while ensuring privacy.Experiments show that the scheme has lower computing cost and less traffic.The simulation results show that the optimal scheduling scheme of smart home can reasonably arrange the household electricity to reduce the user’s electricity cost while responding to the power grid DR.