Productive use of distributed renewable generation source with electric vehicle in smart grid

Conventional power generation and transportation sectors have a substantial share in the greenhouse gas (GHG) emissions which are hampering sustainability in the restructured electric grid. In this respect deployment of modern electric vehicle (MEV) and renewable energy sources (RES) hold the key for attaining the goal of sustainability. In this paper an attempt is made focusing on intelligent scheduling of conventional thermal units in conjunction with MEVs and RES under different scenarios. A tradeoff solution between emissions and cost which are mutually exclusive entities in the frame of sustainability is presented. A quantum binary particle swarm optimization technique (QBPSO) is used for solving dual-objective function including both cost and emissions and it is found from the results that integral approach of scheduling thermal units along with both MEV and RES provides better optimality for dual objective function of smart grid model decarbonisation economically.