  The success of the transportation electricification in this century
particularly requires the penentration of the internet of plug-in electric
vehicles (PEVs) into the smart power grid. Beside the function of serving the
traditional residential power demand, next-generation power grids also aim to
support the internet of PEVs at the same time. The distinct difference between
the traditional power demand and PEVs' power demand is that while the
statistics of the former is rich enough for treating it as inelastic/known
before hand, the latter is unknown until random PEVs' arrivals. Massive
penentration of PEVs certainly causes the grid unpredictable fluctuation. The
present paper considers the joint PEVs charging coordination and grid power
generation to minimizing both of the negative impact of PEVs' integration and
the cost of power generation while meeting the grid operating constraints and
all parties' demand. The bang-bang PEVs charging strategy is adopted to exploit
its simple implementation. By using a recently developed model predictive
control (MPC) model for this problem, the online compuation is based on a
predictive mixed integer nonlinear programming (MINP). A new solution
computation for this optimization problem is developed. Its capacity of
achieving the globally optimal solution is shown by numerical comparison
between its performance and that by an off-line optimal solution.
