TY - JOUR
T1 - Day-Ahead Charging Capacity Market for Power Distribution Network With Electric Vehicle Charging Stations
AU - Li, Ke
AU - Shao, Chengcheng
AU - Huang, Xin
AU - Shahidehpour, Mohammad
AU - Wang, Xifan
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - The rapidly increasing charging load of electric vehicles (EV) calls for large charging capacities, which brings operational and economic challenges to power distribution network (PDN) with limited supply capacities. To tackle such challenges, this work proposes the concept of charging capacity market that enables the day-ahead allocation and trading of charging capacity for EV charging stations (EVCSs). Different from traditional day-ahead power markets, the day-ahead charging capacity market ensures secure grid operations by preventively supplying EVCSs with additional PDN resources that can counter the EV load uncertainty. First, the market clearing model is established as a two-stage robust problem, which offers preventive charging capacity adjustments in the first stage to ensure secure operations of power networks. Second, an improved column and constraint generation algorithm is proposed to solve the proposed robust charging capacity market clearing problem with operation-dependent uncertainty sets, which tackles the potential infeasibility and computational intractability in the traditional market clearing algorithm. Third, the day-ahead capacity pricing is devised within the robust framework. Finally, case studies on modified real-world networks validate the effectiveness of the proposed market, which outperforms the traditional market clearing solutions for enhancing the grid security and economy.
AB - The rapidly increasing charging load of electric vehicles (EV) calls for large charging capacities, which brings operational and economic challenges to power distribution network (PDN) with limited supply capacities. To tackle such challenges, this work proposes the concept of charging capacity market that enables the day-ahead allocation and trading of charging capacity for EV charging stations (EVCSs). Different from traditional day-ahead power markets, the day-ahead charging capacity market ensures secure grid operations by preventively supplying EVCSs with additional PDN resources that can counter the EV load uncertainty. First, the market clearing model is established as a two-stage robust problem, which offers preventive charging capacity adjustments in the first stage to ensure secure operations of power networks. Second, an improved column and constraint generation algorithm is proposed to solve the proposed robust charging capacity market clearing problem with operation-dependent uncertainty sets, which tackles the potential infeasibility and computational intractability in the traditional market clearing algorithm. Third, the day-ahead capacity pricing is devised within the robust framework. Finally, case studies on modified real-world networks validate the effectiveness of the proposed market, which outperforms the traditional market clearing solutions for enhancing the grid security and economy.
KW - Electric vehicle
KW - capacity pricing
KW - column and constraint generation algorithm
KW - day-ahead charging capacity market
KW - market clearing
KW - two-stage robust optimization
UR - https://www.scopus.com/pages/publications/105003798493
U2 - 10.1109/TPWRS.2024.3467166
DO - 10.1109/TPWRS.2024.3467166
M3 - 文章
AN - SCOPUS:105003798493
SN - 0885-8950
VL - 40
SP - 2258
EP - 2271
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 3
ER -