Quantum mechanics

Engineering

Materials science

Plug-in

Peaking power plant

Smart grid

Power (physics)

Deed

Computer science

Mathematical optimization

Distributed generation

Grid

Physics

Renewable energy

Mathematics

Political science

Electric power system

Automotive engineering

Geometry

Programming language

Electrical engineering

IEEE Transactions on Industrial Electronics

In the near future, plug-in electric vehicles (PEVs) will dominate the car market. The peak-valley difference would increase greatly due to the random nature of PEVs charging behaviors. In this paper, a new problem on studying the dynamic economic/emission dispatch (DEED) including PEVs for peak shaving and valley filling is proposed, and furthermore, the effect caused by different vehicle-to-grid (V2G) and grid-to-vehicle (G2V) loads on DEED is analyzed. The optimization model of the problem is constructed including several practical constraints, such as power flow constraints and ramp rate limits. The battery degradation cost is also included, which reshapes the objective function of DEED. Based on the model, a strategy for DEED including PEVs for peak shaving and valley filling is given, and a multiobjective optimization algorithm is adopted to solve the proposed problem. To demonstrate the feasibility and effectiveness of the proposed strategy, three DEED cases are considered under different V2G power. The analysis of the effect on fuel cost and emission caused by different V2G power shows that the proposed strategy can effectively reduce the emission and cut down the investment in peak load plants.

Dynamic Economic/Emission Dispatch Including PEVs for Peak Shaving and Valley Filling