Electricity pricing game mechanism based on energy chemistry internet of things

With the economic and technological development of the society, the reliability and stability of traditional grid power supply have been faced with more challenges. More attention should be paid to the impact on the environment accordingly. Based on the concept of energy chemistry internet of things (EC-IoT), this paper studies the grid structure and electricity market under the background of renewable energy, and also studies the pricing mechanism of electricity according to game theory. Firstly, the characteristics and basic elements of electricity pricing were analysed deeply and the relevant concept model was established, including power grid environment model, electricity market model and power generation model. Then, in view of the characteristics of the electricity pricing problem in the EC-IoT, one power system model was established. Finally, based on the Bayesian Nash equilibrium (BNE) game, the electricity pricing strategy was proposed, by systematically introducing the process of game pricing and the solution to the equilibrium of the electricity price game. Copyright © 2018, AIDIC Servizi S.r.l.