Title :
The research about electricity market simulation based on intelligent agent-based algorithms
Author :
Li Weigang ; Zhou Haiming ; Chen Naishi
Author_Institution :
Dept. of Power Autom., China Electr. Power Res. Inst., Beijing, China
Abstract :
This system provides an approach to study the electricity market by means of simulation experiments. According to the released market bidding information, quotations are generated by intelligent agent-based algorithms. Bidding generation process of intelligent agent is a machine learning process. Usually, it simulates the bidding process by learning the bidding of the same trading processes repeatedly according to the market clearing results. Several simulation experiments of long-term energy trades are carried out on this system. And the results indicate that this system can simulate the actual market environment to a certain extent.
Keywords :
learning (artificial intelligence); power markets; power system simulation; software agents; tendering; bidding generation process; electricity market; intelligent agent-based algorithms; long-term energy trades; machine learning process; market bidding information; market clearing results; quotations; simulation experiments; trading processes; Analytical models; Companies; Computational modeling; Electricity supply industry; Load modeling; Object oriented modeling; Power systems; Electricity market simulation; Intelligent Agent-based Algorithms; simulation experiments of long-term energy trades;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
DOI :
10.1109/PEAM.2012.6612522
