Supply Optimization for Power Demand from PHEV Charging Stations

As plug-in hybrid electric vehicles (PHEV) become more and more preferable to customers than the vehicles burning fossil fuels when the oil price goes up, the increasing power demand from PHEV charging stations will impose an challenge to the power grid operator that cannot be neglected. In this paper, based on a battery replacement strategy adopted charging stations, firstly, an estimation algorithm is proposed to derive a probability distribution over a set of power demand scenarios for multiple charging stations. Then, the power demand probability distribution is used in a stochastic programming model applied to solve the power supply optimization problem with the objective of minimizing the supply cost for the power grid operator.