Multi-objective optimal generation dispatching with large-scale plug-in hybrid electric vehicles penetration

The widespread adoption of plug-in hybrid electric vehicles (PHEVs) will bring new challenges to the secure and economic operation of power systems. A multi-objective dynamic economic dispatch model with large-scale PHEVs penetration is formulated to minimize the fuel cost and to improve the load characteristic. In this model, the PHEVs charging loads and the generator outputs of each time period are selected as decision variables, and the driving behavior of PHEVs is taken into account. The self-adaptive multi-objective differential evolution algorithm is implemented to obtain the Pareto front. The developed model is tested on the ten-unit system, the results obtained demonstrate the effectiveness of the proposed dispatching approach. At last, the emission-reduction strategies of PHEVs-penetrated power systems are discussed.