Multi-Agent Based Optimal Bidding Strategy for Power Producer in Power Market-Reference-Cited by-同舟云学术

Multi-Agent Based Optimal Bidding Strategy for Power Producer in Power Market

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Machine Learning and Cybernetics (ICMLC)
language:
Short-container-title:

Author:

Xu Jun-Hua¹,Lin Gui-Dong¹,Tan Jing-Yu¹,Xue Ji-Zhong¹

Affiliation:

1. School of Automation, Guangdong University of Technology,Department of Electrical,Guangzhou,China,510000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10327787/10327919/10328004.pdf?arnumber=10328004

Reference11 articles.

1. Research on the pricing mechanism of electricity spot market based on multi-agent reinforcement learning: Bi-level optimization model of generator bidding under different pricing mechanisms;chengpeng;Chinese Journal of Electrical Engineering,2021

2. Research on the behavior of generators in the electricity market under the listed trading mode;hongying;Proceedings of the 2019 Symposium on the Development and Application of New Technologies for Smart Grid,0

3. A bidding strategy model for power producers based on multi-agent reinforcement learning;peidong;Computer Simulation,2023

4. Bidding Strategies for Electricity Producers in a Competitive Electricity Marketplace

5. Equilibrium bidding strategy of multi-energy suppliers in integrated energy market under carbon trading mechanism;chunhua;Grid Technology,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Renewable Energy Bidding Strategy in Multiple Markets Considering Uncertainty in Generation and Price;2024 20th International Conference on the European Energy Market (EEM);2024-06-10

2. Design a Market Simulation Based Thermal Generator Bidding Process in Power Spot Market;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11