ALADIN-Based Coordinated Operation of Power Distribution and Traffic Networks With Electric Vehicles

Abstract

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 (DGs) and adjusting charging prices of fast charging stations (FCSs), a traffic-distribution coordination (TDC) model is proposed to minimize the travel cost of TN and energy service cost of DN, which simultaneously considers the economic operation of DN by alternating current dynamic optimal power flow (AC DOPF) and the traffic flow assignment of TN by EVs dynamic user equilibrium (DUE) respectively. And afterward the augmented Lagrangian alternating direction inexact Newton (ALADIN) method is adopted to solve the TDC model. Finally, the necessity of coordinated operation of TN and DN and the effectiveness of TDC model are validated in an integrated system of modified Nguyen-Dupius TN and IEEE 33-bus DN.

A capacity efficient power distribution network supported by battery swapping station

“…Moreover, the values V ac , V dc ,I ac ,I dc and P total can be determined in term of power factor (x 1 ) by placing the values of a and b from Equation (10) and their representation is given in Equations ( 12) to (16).…”

“…[6][7][8][9][10][11][12] These studies [6][7][8][9][10][11][12] have focused on the impact of EV charging power demands on the power quality of the distribution network, such as determining system losses, voltage drops, network congestion, under-voltage and overcurrent events, and phase imbalances. Previous [13][14][15][16][17] studies investigated the impact of EV charging power demands on voltage profiles; these found that a large additional demand due to high penetration of EVs could result in voltage drop problems, such as violation of the voltage limit and voltage unbalance. Further, the power energy research community has explored the optimal placement of the charging station to mitigate the challenges associated with grid stability.…”

Optimal Game-Based Energy Management with Renewable Energy for Secure Electric Vehicles Charging in Internet of Things

“…Su et al,in [27], modeled the interaction between the energy-constrained devices and unmanned aerial vehicles and presented the multiple-stage dynamic bipartite matching strategy in IoT. Sun et al, in [28], studied how to improve the energy utilization efficiency, through coordinating the traffic network and power distribution network. Ferdowsi et al, in [29], designed the safe controller to protect the autonomous connected vehicles' network being attacked physically.…”

“…Break the loop. (27) end if (28) end for (29) end for (30) end for (31) Output: θ * i , while both p * re (t) and p * tr (t) can be achieved. and ω 2 .…”

Congestion-Preventing Routing and Charging Scheduling Mechanism for Electric Vehicles in Dense Urban Areas

“…A simplified charge-control algorithm for deterministic traffic networks was presented to ease computational complexity. Sun et al [20] proposed a traffic-distribution coordination mechanism to minimize the travel cost and energy service cost of each EV driver. An augmented Lagrangian alternating direction inexact Newton model was employed to coordinate operation of traffic and power distribution networks.…”