Power Grid Peak Shaving Strategy Considering Electric Vehicle Carbon Trading and Hybrid Demand Response

To fully mobilize the potential of EVs (electric vehicle) to participate in power grid peak shaving, leverage demand-side flexibility to reduce carbon emissions, and mitigate peak loads generated by grid-connected charging of EV, we proposed a grid peak shaving strategy considering EV carbon trading and hybrid demand response. Firstly, we use Monte Carlo method to simulate the load of the disorderly charging mode of EVs. Secondly, we establish a demand response strategy that combines pricing and incentives, as well as a carbon trading mechanism for both EV users and load aggregators. Using the baseline method to allocate the carbon emission share of the system free of charge. Finally, we establish an optimal operation model for EV charging system that aims for the lowest load fluctuation index of power grid, the highest economic benefit of load aggregator and the lowest equivalent carbon emissions. The proposed model is validated across four typical scenarios. Simulation results demonstrate that the joint scheduling strategy can not only effectively reduce the carbon emissions of the system, shave gird peak load while fill the valley, but also boost the net income of the Electric Power Aggregator (EPA).