TY - GEN
T1 - Research on Interaction Potential of Electric Vehicles in Power Grid Dispatching and Operation Scenarios
AU - Liu, Peng
AU - Yang, Xingang
AU - Cao, Boyuan
AU - Wang, Zhenpo
AU - Zhou, Encheng
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - As the number of electric vehicles increases year by year, electric vehicles can be used as energy storage equipment to optimize the grid load curve. Studying the interactive potential evaluation and quantification methods of electric vehicles as adjustable resources to participate in grid mobilization and operation has far-reaching significance for the optimal operation of electric vehicles and grid load. This paper is based on the historical operation data of all electric vehicles in Shanghai, collected by the Internet of Vehicles detection platform. First, classify electric vehicles as adjustable resources in interaction, and build corresponding indicator system based on classification. Secondly, the evaluation method and quantitative method are given according to the classification. Finally, an example is simulated based on the data. The simulation results show that the electric vehicles in Shanghai, as an interactive and adjustable resource for grid operation, have the potential to optimize the grid operation curve in peak shaving and valley filling.
AB - As the number of electric vehicles increases year by year, electric vehicles can be used as energy storage equipment to optimize the grid load curve. Studying the interactive potential evaluation and quantification methods of electric vehicles as adjustable resources to participate in grid mobilization and operation has far-reaching significance for the optimal operation of electric vehicles and grid load. This paper is based on the historical operation data of all electric vehicles in Shanghai, collected by the Internet of Vehicles detection platform. First, classify electric vehicles as adjustable resources in interaction, and build corresponding indicator system based on classification. Secondly, the evaluation method and quantitative method are given according to the classification. Finally, an example is simulated based on the data. The simulation results show that the electric vehicles in Shanghai, as an interactive and adjustable resource for grid operation, have the potential to optimize the grid operation curve in peak shaving and valley filling.
KW - Electric vehicle
KW - Peak cutting and valley filling
KW - Power grid load dispatching operation
KW - Train network interaction
UR - http://www.scopus.com/inward/record.url?scp=85172027336&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-2730-2_18
DO - 10.1007/978-981-99-2730-2_18
M3 - Conference contribution
AN - SCOPUS:85172027336
SN - 9789819927296
T3 - Lecture Notes in Electrical Engineering
SP - 175
EP - 187
BT - 7th International Conference on Computing, Control and Industrial Engineering, CCIE 2023 - Advances in Computing, Control and Industrial Engineering VII
A2 - S. Shmaliy, Yuriy
A2 - Nayyar, Anand
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Computing, Control and Industrial Engineering, CCIE 2023
Y2 - 25 February 2023 through 26 February 2023
ER -