A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network

Y Wang, C Yang, T Li, X Mi, L Li… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

Decentralized frequency regulation service provision for virtual power plants: A best response potential game approach

X Sun, H Xie, D Qiu, Y Xiao, Z Bie, G Strbac - Applied Energy, 2023 - Elsevier
The high-renewable-penetrated power system frequently requires frequency regulation
services. By aggregating heterogeneous demand-side flexible resources, the virtual power …

A Comprehensive Study of Degradation Characteristics and Mechanisms of Commercial Li(NiMnCo)O2 EV Batteries under Vehicle-To-Grid (V2G) Services

Y Wei, Y Yao, K Pang, C Xu, X Han, L Lu, Y Li, Y Qin… - Batteries, 2022 - mdpi.com
Lithium-ion batteries on electric vehicles have been increasingly deployed for the
enhancement of grid reliability and integration of renewable energy, while users are …

Approaching the Global Nash Equilibrium of Non-convex Multi-player Games

G Chen, G Xu, F He, Y Hong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Many machine learning problems can be formulated as non-convex multi-player games.
Due to non-convexity, it is challenging to obtain the existence condition of the global Nash …

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 …

Privacy-preserving decentralized price coordination for EV charging stations

C Lu, J Wu, C Wu - Electric Power Systems Research, 2022 - Elsevier
Price competition among electric vehicle (EV) charging stations is as fierce as the
competition among gas stations. Nash equilibrium (NE) is a solution concept that can …

Learning-aided framework for storage control facing renewable energy

J Wu, C Lu, C Wu - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) enables reliable and fast data collection and transmission,
providing key infrastructure for power generation, distribution, and control in the smart grid …

Cooperative Game-based Charging-Discharging Efficiency Optimization of Electric Vehicles in 6G-enabled V2G

P Liu, Z Liu, N Zhang, F Lin - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
Electric vehicles are considered the alternative to fossil fuel-powered vehicles to address
issues of greenhouse gas emissions in the transportation system. Moreover, by taking the …

A Single-Loop Finite-Time Convergent Policy Optimization Algorithm for Mean Field Games (and Average-Reward Markov Decision Processes)

S Zeng, S Bhatt, A Koppel, S Ganesh - arXiv preprint arXiv:2408.04780, 2024 - arxiv.org
We study the problem of finding an equilibrium of a mean field game (MFG)--a policy
performing optimally in a Markov decision process (MDP) determined by the induced mean …

Incentivizing EVs to Provide Frequency Regulation Services by Aggregative Game-Based Mechanism

X Sun, H Xie, D Qiu, Y Xiao, G Strbac… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The proliferation of electric vehicles (EVs) provides a promising resource for regulation
services to maintain the frequency of power systems. However, two major problems hinder …