Loaning Decision for Electric Vehicles under Uncertain Electricity Price in the Blockchain Internet of Energy

This paper discusses an uncertain loaning decision problem for electric vehicles in the blockchain Internet of energy. Blockchain guarantees the security and privacy of transactions. In view of the uncertainty of electricity price, the scenario method is introduced. A new Stackelberg game model between multi plug-in hybrid electric vehicles and a loan bank is established. For each player, through the optimal solution of the loaning decision problem, the decision of each electric vehicle and the bank is obtained. Differing from the deterministic decision problem, a robust decision problem is proposed for the uncertainty of electricity price. In particular, in the loaning decision for each plug-in hybrid vehicle, a two scenario subset robust optimization method is used. A relaxation algorithm is proposed to solve the robust decision problem. The equilibrium of robust Stackelberg game model is achieved at the optimal loaning amount of all electric vehicles and the optimal loaning rate of the bank. Finally, an experiment was conducted to test the established game model in three different instances. The effectiveness and advantages of the established game model were verified by the computational results.