A Bi-level optimization strategy for electric vehicle retailers based on robust pricing and hybrid demand response

W Meng, D Song, L Huang, X Chen, J Yang, M Dong… - Energy, 2024 - Elsevier
The high penetration of electric vehicles (EVs) poses both opportunities and challenges for
power systems. EV retailers, playing a critical role in the demand response mechanism, face …

Research on EV charging load forecasting and orderly charging scheduling based on model fusion

W Yin, J Ji - Energy, 2024 - Elsevier
The randomness and uncertainty of charging behavior of EV users bring great challenges to
the short-term prediction of charging load of EV charging stations. Aiming at the low …

Study on optimal configuration of EV charging stations based on second-order cone

W Yin, J Ji, X Qin - Energy, 2023 - Elsevier
Abstract The Electric Vehicle (EV) charging station frequently participates in the daily
regulation and operation of the power distribution system, whether the installation position is …

An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing

L Zhang, Z Huang, Z Wang, X Li, F Sun - Energy, 2024 - Elsevier
The rapid adoption of electric vehicles (EVs) has led to dramatic increase in charging
demands that poses great challenges for efficient charging infrastructure rollout and …

Robust optimal scheduling of microgrid with electric vehicles based on stackelberg game

J Hao, T Huang, Q Xu, Y Sun - Sustainability, 2023 - mdpi.com
With increasing penetration of distributed generators (DG), the uncertainty and intermittence
of renewable energy has brought new challenges to the economic dispatch and promotion …

Smart vehicle-to-grid integration strategy for enhancing distribution system performance and electric vehicle profitability

W Abdelfattah, AS Abdelhamid, HM Hasanien… - Energy, 2024 - Elsevier
This study presents a novel Vehicle-to-Grid (V2G) integration strategy. By utilizing the
energy stored in electric vehicles (EVs) to inject power into the grid optimally during peak …

Adaptive robust scheduling optimization of a smart commercial building considering joint energy and reserve markets

W Zheng, X Xu, Y Huang, F Zhu, Y Yang, J Liu, W Hu - Energy, 2023 - Elsevier
With the increase in renewable energy penetration and the widespread use of electric
vehicles, the uncertainty of controllable resources adversely affects the economic …

Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load

Y Chen, C Lin, Y Zhang, J Liu, D Yu - Energy, 2024 - Elsevier
With the significant increase in the proportion of volatile new energy in the power system in
recent years, the difficulty of system scheduling has increased. Accurate load forecasting is …

Electric vehicle charging load prediction based on variational mode decomposition and Prophet-LSTM

N Cheng, P Zheng, X Ruan, Z Zhu - Frontiers in Energy Research, 2023 - frontiersin.org
With the large-scale development of electric vehicles, the accuracy of electric vehicle
charging load prediction is increasingly important for electric power system. Accurate EV …

Electric Vehicle Ordered Charging Planning Based on Improved Dual-Population Genetic Moth–Flame Optimization

S Che, Y Chen, L Wang, C Xu - Algorithms, 2024 - mdpi.com
This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization
problem. To address this issue, an improved dual-population genetic moth–flame …