Research on multi-objective optimization coordination of plug-in hybrid electric vehicle and distributed generation

With large integration of plug-in hybrid electric vehicle (PHEV) and distributed generation (DG), a good regulation ability of the power grid is required for PHEVs random charging and DG´s intermittency. Considering safe and economic operation of the power grid and charging cost of PHEV owners, vehicle-to-grid (V2G) is a multi-objective and multi-constrained optimization problem by nature. A multi-objective optimization coordination model is proposed for PHEV and DG integration. Objectives of this model are maximum synthetic load ratio, minimum node voltage deviation and power loss ratio, lowest V2G service cost of the grid and charging cost of PHEV owners. By dynamic regulating PHEV charging and discharging power, power fluctuation between load and DG can be matched well and the impact of DG intermittency on the power grid will be decreased. A real 10kV feeder is simulated.