TY  - EJOU
AU  - Lei, Chao 
AU  - Zhou, Yiyao 
AU  - Chen, Bo 

TI  - Look-Ahead Vehicle-to-Grid-Aware Distribution Optimal Power Flow Approach Considering Enhanced C-ADMM-Based Electric Vehicle Aggregation Scheduling
T2  - Energy Engineering

PY  - 
VL  - 
IS  - 
SN  - 1546-0118

AB  - To address the impact of electric vehicle (EV) aggregation services on distribution network operation, this paper proposes a look-ahead vehicle-to-grid (V2G)-aware distribution optimal power flow (DOPF) approach that explicitly incorporates the time-varying V2G control errors arising from EV battery dispatch into real-time DOPF decisions. The V2G dispatch model is reformulated into a decomposable structure comprising one master problem and multiple subproblems, where the master problem updates the Lagrange multipliers and each subproblem optimizes the charging and discharging schedule of an individual EV. An enhanced consensus alternating direction method of multipliers algorithm is further developed by incorporating a tailored warm-start strategy to improve computational efficiency. Numerical simulations are performed on distribution networks with a fleet of EVs managed by a real-world EV aggregator. The results demonstrate that the proposed method can effectively account for time-varying V2G control errors and improve the performance of real-time DOPF operation.
KW  - Vehicle-to-grid; electric vehicle; distribution optimal power flow; alternating direction method of multipliers

DO  - 10.32604/ee.2026.084834