DocumentCode
2503515
Title
Learning the role of regulator in emerging multi-energy market: A simulation approach with agents
Author
Oo, Naing Win
Author_Institution
Dept. of Electr./Commun. Eng. & Comput., Curtin Univ. of Technol., Miri
fYear
2008
fDate
1-3 Dec. 2008
Firstpage
1166
Lastpage
1171
Abstract
According to recent technological break-through in energy conversion area and the implementation of efficiency improvement approaches in energy markets, energy sectors accustomed to operate in parallel with some degree of independency has been forced to compete in emerging multi-energy markets. Understanding the behavior of these relatively unknown markets is crucial for the success of market actors involved. This study proposes a pioneer simulation approach that employs agent-based modeling for studying the behavior of energy retail markets. Using agent technology, a pilot computational laboratory has been developed. The results from this pilot computational lab prove that extremely complex behavior can be emerged from simple interaction of agents. The results also indicate that the regulators may still play important role in open multi-energy retail markets.
Keywords
evolutionary computation; multi-agent systems; power engineering computing; power markets; agent-based modeling; autonomous agents; efficiency improvement; energy conversion; energy retail markets; evolutionary computation; pilot computational laboratory; Autonomous agents; Computational modeling; Concurrent computing; Energy conversion; Evolutionary computation; Java; Laboratories; Power engineering and energy; Power engineering computing; Regulators; Autonomous Agents; Energy Market; Evolutionary Computation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location
Johor Bahru
Print_ISBN
978-1-4244-2404-7
Electronic_ISBN
978-1-4244-2405-4
Type
conf
DOI
10.1109/PECON.2008.4762652
Filename
4762652
Link To Document