Charge scheduling of a plug-in electric vehicle considering load demand uncertainty based on multi-stage stochastic optimization

A plug-in electric vehicle (PEV) can be used for load shifting household demand using an optimal control strategy to minimize the overall cost of the owner. The PEV can provide initial charge, final desired charge and charging time data to the charging station when plugged in, and the information can be used in a decision-making model to charge/discharge the PEV storage unit in a cost effective manner. In this paper, a multi-stage stochastic optimization model is presented to improve on this decision-making process under demand uncertainty. In this framework, a coordinated control between PEV storage and household load is presented. The Stochastic Dual Dynamic Programming (SDDP) algorithm is applied to define the optimal charging/discharging profile for minimizing the household daily operation costs.