TY - JOUR
T1 - ALADIN-Based Coordinated Operation of Power Distribution and Traffic Networks with Electric Vehicles
AU - Sun, Guangzeng
AU - Li, Gengyin
AU - Xia, Shiwei
AU - Shahidehpour, Mohammad
AU - Lu, Xi
AU - Chan, Ka Wing
N1 - Funding Information:
Manuscript received October 30, 2019; revised February 6, 2020 and April 19, 2020; accepted April 22, 2020. Date of publication April 27, 2020; date of current version September 18, 2020. Paper 2019-AAAE-1267.R2, approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Advanced Approaches and Applications for Electric Vehicle Charging Demand Management of the IEEE Industry Applications Society. This work was supported in part by the Smart Grid Joint Foundation Program of National Natural Science Foundation of China and the State Grid Corporation of China (U1966204), in part by the Jiangsu Basic Research Project (Natural Science Foundation BK20180284), in part by the Fundamental Research Funds for the Central Universities (2019MS007), and in part by the China National Study Foundation (201906735013). (Corresponding author: Shiwei Xia.) Guangzeng Sun, Gengyin Li, and Shiwei Xia are with the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China. (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Electric vehicles (EVs) are recognized as a promising remedy for the environmental crisis and fuel shortage faced by modern metropolises. But meanwhile, with the popularization of EVs, the unordered charging of EVs will have negative impacts on both the power distribution network (DN) and the traffic network (TN). The well-scheduled EV charging/discharging behaviors could participate in the coordinated operation of TN and DN to significantly enhance the energy utilization efficiency of both networks. With an assumption that an entity like state grid capable of dispatching distributed generators and adjusting the charging prices of fast charging stations, a traffic-distribution coordination (TDC) model is proposed to minimize the travel cost of TN and the energy service cost of DN, which simultaneously considers the economic operation of DN by alternating current dynamic optimal power flow and the traffic flow assignment of TN by EVs dynamic user equilibrium, respectively. And afterward, the augmented Lagrangian alternating direction inexact Newton method is adopted to solve the TDC model. Finally, the necessity of the coordinated operation of TN and DN and the effectiveness of the TDC model are validated in an integrated system of modified Nguyen-Dupius TN and IEEE 33-bus DN.
AB - Electric vehicles (EVs) are recognized as a promising remedy for the environmental crisis and fuel shortage faced by modern metropolises. But meanwhile, with the popularization of EVs, the unordered charging of EVs will have negative impacts on both the power distribution network (DN) and the traffic network (TN). The well-scheduled EV charging/discharging behaviors could participate in the coordinated operation of TN and DN to significantly enhance the energy utilization efficiency of both networks. With an assumption that an entity like state grid capable of dispatching distributed generators and adjusting the charging prices of fast charging stations, a traffic-distribution coordination (TDC) model is proposed to minimize the travel cost of TN and the energy service cost of DN, which simultaneously considers the economic operation of DN by alternating current dynamic optimal power flow and the traffic flow assignment of TN by EVs dynamic user equilibrium, respectively. And afterward, the augmented Lagrangian alternating direction inexact Newton method is adopted to solve the TDC model. Finally, the necessity of the coordinated operation of TN and DN and the effectiveness of the TDC model are validated in an integrated system of modified Nguyen-Dupius TN and IEEE 33-bus DN.
KW - Alternating current dynamic optimal power flow
KW - augmented Lagrangian alternating direction inexact Newton (ALADIN)
KW - dynamic user equilibrium (DUE)
KW - traffic-distribution coordination (TDC) with electric vehicles (EVs)
UR - http://www.scopus.com/inward/record.url?scp=85092165058&partnerID=8YFLogxK
U2 - 10.1109/TIA.2020.2990887
DO - 10.1109/TIA.2020.2990887
M3 - Journal article
AN - SCOPUS:85092165058
SN - 0093-9994
VL - 56
SP - 5944
EP - 5954
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 5
M1 - 9079677
ER -