@inproceedings{a7872e6d6d414b9491d677c6f95b5fab,
title = "Study of power market simulation based on distributed multi-agent system",
abstract = "Commonly used power market simulation systems can only simulate the small-scale market with a simple result and do not consider the market participators as those who have the adaptive learning mechanism. By modeling the market participators as Agents, we approached a MAS-based distributed simulation system on JADE platform, which has the ability to simulate complex, large-scale markets with different strategies on different Agents. The Q-Learning and some other methods are introduced into the bidding strategy of the system. The system performance and convergence of Q-Learning strategy are evaluated by designed instances. As a result, the distributed system performance is better than the centralized system in many respects and Q-Learning strategy always leading to a high profit.",
keywords = "Distributed, Multi-agent system, Power market simulation, Q-learning",
author = "Jin Qiu and Feng Gao and Jiang Wu and Xiaohong Guan and Qiaozhu Zhai",
year = "2008",
doi = "10.1109/WCICA.2008.4594183",
language = "英语",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "8018--8023",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}