Distributed low-carbon economic dispatch of integrated power and transportation system

Z Li, Q Wu, H Li, C Nie, J Tan - Applied Energy, 2024 - Elsevier
Electric vehicles (EVs) are widely recognized as promising solutions to reduce carbon
emissions from the transportation sector. The rapid proliferation of EVs intensifies the …

Graph reinforcement learning for carbon-aware electric vehicles in power-transport networks

D Qiu, Y Wang, Z Ding, G Strbac - IEEE Transactions on Smart …, 2024 - ieeexplore.ieee.org
Transitioning towards a low-carbon future necessitates massive efforts from both the
transport and power sectors. Electric vehicles (EVs) have emerged as a promising approach …

Incentivizing the Collaboration Between Travelers and Power-Traffic Network Operators: An Asymmetric Nash Bargaining Approach

S Lv, S Chen, Z Wei, G Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the proliferation of electric vehicles and the deepened interdependence between
power and traffic networks, tariff-and subsidy-based monetary incentives have been …

Decentralized energy trading in microgrids: A blockchain-integrated model for efficient power flow with social welfare optimization

A Umar, D Kumar, T Ghose - Electrical Engineering, 2024 - Springer
The paper introduces a novel decentralized electricity market framework tailored for network
community microgrid systems, leveraging blockchain technology. It presents a …

Towards Efficient Coordination of Power Distribution Network and Electric Vehicles: Deep Reinforcement Learning with Robust Reward Function

P Li, S Chen, Z Wei, Q Wu, G Sun… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The rapid increase in electric vehicle (EV) usage has led to an urgent need for coordinating
EV charging activities with power distribution networks (PDNs) to accommodate the resulting …

信息-物理-社会视角下的电力-交通耦合网络建模与协同优化

盛裕杰, 郭庆来, 薛屹洵, 王嘉炜, 常馨月 - 电力系统自动化, 2024 - epjournal.csee.org.cn
**年来, 电动汽车(EV), 快速充电设施的高速增长将电力系统和交通系统这两个复杂的基础设施
网络紧密耦合. EV 具备充电时间和充电位置的灵活性, 对于新型电力系统**是理想的移动储能 …

A Deep Learning-Based Framework for Accelerating EVs Traffic Assignment with User Equilibrium

Z Liang, T Qian, Q Hu, Z Wu - 2024 IEEE Power & Energy …, 2024 - ieeexplore.ieee.org
As the adoption of electric vehicles (EVs) continues to grow, power and transportation
systems have established a coupled relationship via EVs charging stations. Understanding …

Multi-Period Coordinated Optimization of Coupled Traffic-Power Systems via Pricing Incentives

Y Sheng, C Lin, Y Lin, H Chen… - 2024 IEEE 7th …, 2024 - ieeexplore.ieee.org
The rapid growth of electric vehicles (EV s) and fast charging stations couples the urban
power network and traffic network and brings spatial-temporal flexibility resources. Through …

A Low Carbon Demand Response Approach via Road Tolls in Traffic-Power Coupled System

Z Liang, T Qian, Q Hu, Z Wu - 2023 IEEE 7th Conference on …, 2023 - ieeexplore.ieee.org
Electric vehicles are renowned for their notable attributes of minimal consumption of energy
and advantageous effects on the environment. Within the existing power distribution network …

发电商合作博弈策略下跨区输电电价优化方法.

董萍, 黄善超, 刘明波 - Journal of South China University of …, 2024 - search.ebscohost.com
由于负荷中心与可再生资源在地理位置上分布的不均匀, 更大范围的资源合理配置需要跨区输电
, 而随着电力市场的深化发展, 参与跨区电力市场出清的发电商将可能出现通过合作博弈策略 …