A two-layer optimization strategy for electric vehicles participating in microgrid scheduling considering dynamic electricity prices

Abstract

The variation of electric vehicle (EV) charging load is constrained by the climbing performance of microgrids. Therefore, this paper considers the climbing characteristics of microgrid units and proposes a two-layer optimization strategy for EVs participating in microgrid scheduling considering dynamic electricity prices. The upper layer is the EV load model. The fast/slow charging characteristics of different types of EVs are analyzed and the guidance of microgrid electricity price on EV charging demand is considered, thereby establishing the EV load model with the maximum user satisfaction as the target. The lower layer is a multi-microgrid operation model. The dynamic electricity price strategy is formulated according to the net load of the microgrid, and the dynamic electricity price of each region is optimized considering the consumption of new energy of the microgrid by EV charging and the demand for power climbing. The multi-microgrid regional operation model is established with the objective of minimizing the net load fluctuation and operating cost of the microgrid. Finally, an example analysis of the microgrid and EV charging demand in an urban area is conducted to verify the results. The results show that compared with the fixed electricity price and the peak and valley time-of-use price, the proposed method can realize the orderly charging of EV loads in the microgrid area and smooth the net load fluctuation. Also, the proposed method can effectively reduce the influence of charging behavior on the safe and economic operation of the microgrid.

Keywords

• electric vehicle (ev)
• microgrid
• dynamic electricity price
• two-layer optimization
• fast/slow charging load
• climbing