Optimal Energy Trade in Retailer, Charging Station, and Electric Vehicles using a Stackelberg Game
Author:
Affiliation:
1. Deakin University,Engineering Department,Geelong,Australia
2. University of Melbourne,Engineering Department,Melbourne,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10087345/10087358/10087684.pdf?arnumber=10087684
Reference16 articles.
1. Non-Cooperative and Cooperative Optimization of Scheduling With Vehicle-to-Grid Regulation Services
2. Centralized bi-level spatial-temporal coordination charging strategy for area electric vehicles
3. Hybrid dynamic economic emission dispatch of thermal, wind, and photovoltaic power using the hybrid backtracking search algorithm with sequential quadratic programming
4. Stackelberg-Game-Based Demand Response for At-Home Electric Vehicle Charging
5. Retail Pricing: A Bilevel Program for PEV Aggregator Decisions Using Indirect Load Control
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1. Three-stage energy trading framework for retailers, charging stations, and electric vehicles: A game-theoretic approach;Energy;2024-08
2. Optimal Location and Pricing of Electric Vehicle Charging Stations Using Machine Learning and Stackelberg Game;IEEE Transactions on Industry Applications;2024-05
3. A Reward Based Charging and Discharging of EVs Using Stackelberg Game Model;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03
4. A Stackelberg Game Approach to Find Optimal Location and Pricing for Network of Charging Stations;2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET);2023-05-19
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