Energy trading among electric vehicles based on Stackelberg approaches: A review

M Adil, MAP Mahmud, AZ Kouzani, SY Khoo - Sustainable Cities and …, 2021 - Elsevier
Integration of renewable and other distributed generated energy resources has put
enormous strains on the traditional power grid. The world is moving towards green energy …

Optimal sizing of energy communities with fair revenue sharing and exit clauses: Value, role and business model of aggregators and users

D Fioriti, A Frangioni, D Poli - Applied Energy, 2021 - Elsevier
Energy communities (ECs) are essential tools to meet the Energy Transition goals but, to
fully unleash their potential, they require a coordinated operation and design that the …

An optimization strategy of price and conversion factor considering the coupling of electricity and gas based on three-stage game

J Yang, H Liu, K Ma, B Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to improve the profits of electricity utility company (EUC) and gas utility company
(GUC) and reduce the electricity and heat cost of users, an energy trading and pricing …

A secure and efficient wireless charging scheme for electric vehicles in vehicular energy networks

Y Wang, HT Luan, Z Su, N Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To address the limited driving range of electric vehicles (EVs) and promote EVs' penetration,
vehicular energy networks (VENs) have emerged and opened possibility to charge EVs in …

Optimal scheduling management of the parking lot and decentralized charging of electric vehicles based on Mean Field Game

R Lin, Z Xu, X Huang, J Gao, H Chen, T Shen - Applied Energy, 2022 - Elsevier
As an intermediary for the interaction between the grid and electric vehicles (EVs), the
parking lot aggregator not only facilitates the exchange of electricity between EVs and the …

Vehicle-to-grid coordination via mean field game

Y Zhang, J Sun, C Wu - IEEE Control Systems Letters, 2021 - ieeexplore.ieee.org
The electrification of the transportation sector is urgently needed to combat global warming.
However, the rapidly increasing number of electric vehicles (EVs) on the road is threatening …

Incentive Compatible Pricing for Enhancing the Controllability of Price-Based Demand Response

X Sun, H Xie, Y Xiao, Z Bie - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
Price-based demand response is widely implemented by the load aggregators (LAs) to
exploit the flexibility of massive demand-side resources. However, a key problem in real-life …

Deep reinforcement learning-aided bidding strategies for transactive energy market

A Taghizadeh, M Montazeri… - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
The concept of transactive energy market (TEM) has been introduced to efficiently balance
supply and demand across the electrical networks in a distributed manner. TEM allows …

Online Rectangle Packing Algorithm for Swapped Battery Charging Dispatch Model Considering Continuous Charging Power

J Bai, T Ding, W Jia, S Zhu, L Bai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The vigorous development of electric vehicles (EVs) is an important means of reducing
carbon emissions and mitigating environmental problems such as the greenhouse effect …

Hierarchical pricing game for balancing the charging of ride-hailing electric fleets

M Maljkovic, G Nilsson… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the ever-increasing popularity of ride-hailing services and the indisputable shift
toward alternative fuel vehicles, the intersection of the ride-hailing market and smart electric …