Optimization of TOU Price of Electricity Based on Electric Vehicle Orderly Charge

This paper presents a model to optimize time-of-use (TOU) electricity price for the purpose of making use of orderly charge behavior by Electric Vehicles (EV) and realizing peak-shaving and valley-filling for power systems. Firstly, the charge response to TOU electricity price by EV users was modeled. The load profile of EV charge was simulated using Monte Carlo method. The EV charge load was aggregated with the original load of power systems and actual load profile was created. an optimization model was built to minimize ratio of peak load to valley load. A genetic algorithm was applied to gain optimal arrangement of TOU electricity price. Case study shows the rationality of this model and method.