DocumentCode :
1861362
Title :
Agent-based computational economics: methodology and its application in electricity market research
Author :
Shun-kun, Yu ; Jia-hai, Yuan
Author_Institution :
Bus. Sch., North China Electr. Power Univ., Beijing
fYear :
2005
fDate :
Nov. 29 2005-Dec. 2 2005
Firstpage :
1
Lastpage :
415
Abstract :
The restructured electricity market is a complex adaptive system and worldwide experiences show that market design is a complicated task. Recently, under the paradigm of agent-based computational economics (ACE) a new research focus is forming and a targe number of literatures are springing up, but there is still no discussion on ACE´s theoretical value and insufficiency in the research of electricity market in the hierarchy of methodology, therefore the author´s research is an attempt in this aspect. By means of analyzing the evolution of economics methodology from mathematical deduction to simulation induction and their inherent relevance, the unique superiority of ACE on the level of methodology is expounded. The further selective survey on existing literatures shows that with the ACE model the marketization process can be understood clearly in deeper level and wider scope. Finally to give a reference to theoretical progress, the prospect application of ACE, especially its potential in China´s electric sector restructuring is discussed
Keywords :
multi-agent systems; power engineering computing; power markets; software agents; China electric sector restructuring; agent-based computational economics; electricity market research; market design; marketization process; Adaptive systems; Analytical models; Application software; Business; Educational institutions; Electric potential; Electricity supply industry; Power generation economics; Power system economics; Power system modeling; Computer simulation; Electric power system; Electricity market; Multi-agent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference, 2005. IPEC 2005. The 7th International
Conference_Location :
Singapore
Print_ISBN :
981-05-5702-7
Type :
conf
DOI :
10.1109/IPEC.2005.206944
Filename :
1627233
Link To Document :
بازگشت