1Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, Wuhan 430072, China;2School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China;3Department of Electrical and Electronic Engineering, Hong Kong Polytechnic University, Hong Kong 999077, China

Electric vehicles (EVs) can serve as potential supportive resources to participate in demand-side regulation of power systems. Nevertheless, their inherent resource characteristics including high randomness, small individual rated capacity and diversified user psychological preferences lead to poor practical controllability, making stable aggregated utilization difficult. To address this issue, this paper proposes an online electricity-carbon package design method for EVs based on virtual queues and stochastic differential evolution of parameters. Firstly, an optimal package design model for charging and discharging station operators is established considering the dual electricity-carbon attributes of EVs and user rationality constraints. Secondly, aiming at the temporal coupling and stochastic demand features of EVs, the demand-matching virtual queues are constructed. And the offline package problem is decoupled and converted into an online problem via Lyapunov optimization. Then, stochastic differential equations are adopted to characterize the evolutionary law of user behavioral preference parameters, and a closed-loop feedback calculation process integrating real-time parameter identification and online package solution is developed with the particle filter algorithm. Finally, the simulations verify the effectiveness and rationality of the proposed electricity-carbon package design method.