Optimization Model of EV Load Aggregation Regulation under the Coupling of Energy and Transportation Network
Konferenz: EMIE 2022 - The 2nd International Conference on Electronic Materials and Information Engineering
15.04.2022 - 17.04.2022 in Hangzhou, China
Tagungsband: EMIE 2022
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Guo, Pu; Han, Junwei (State Grid Henan Electric Power Company Economic Technological Research Institut, Zhengzhou, China)
Wang, Wen; Yang, Ye; Peng, Xiaofeng (State Grid Electric Vehicle Service Co., Ltd, Beijing, China)
Zhang, Yue; Liu, Dunnan (School of Economics and Management, North China Electric Power University, Beijing, China)
Duan, Wenjun (School of Economics and Management, Beijing University of Information Technology, Beijing, China)
Inhalt:
With the growth of the quantity of electric vehicles, the coupling depth between energy and transportation network is increasing, which provides a new boundary for electric vehicle load aggregation. Combined with the coupling characteristics of energy and transportation network, this paper constructs the electric vehicle-transportation network-power grid coupling model, proposes the electric vehicle charging demand model based on network expansion and path segmentation, and then establishes the electric vehicle aggregation regulation optimization model considering charging cost, waiting cost and driving cost. The example results show that the model constructed in this paper can effectively reduce the aggregation regulation cost of electric vehicles.