DocumentCode :
3263159
Title :
Simulation of Market Mechanism in Promoting Demand Side Management by Open-agents Model
Author :
Zhang, Kehu ; Ji, Zhaojun ; Tan, Xiandong
Author_Institution :
Shandong Water Polytech., Rizhao, China
Volume :
2
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
371
Lastpage :
374
Abstract :
Demand side management (DSM) plays an important role in energy efficiency. How to simulate DSM with market mechanism is important for policy maker and is also a complex issue. The paper studies the impacts of establishing DSM market mechanism with DSM charge in China by an open-agents model. It consists of a government agent, 15 sectoral agents and human experts, open to human experts. The government agent sets forth the strategy for raising electric power price within the scope prescribed by Consumer Price Index (CPI). The industrial sector agent sets forth strategy for maintaining profits after the rise in its costs. The human experts will intervene in all the agents when necessary. The analysis results show that DSM charge by 1% in electricity tariff bill in 2002 would make CPI rise by 0.069, save energy 72.2 TWh, save coal used in thermal power plants around 27.65 Mtce. The energy intensity would be fallen by 1.67%, and around 70 Mt CO2 and other pollutant emissions would be avoided.
Keywords :
demand side management; expert systems; government; multi-agent systems; pricing; tariffs; Consumer Price Index; DSM market mechanism; demand side management; electric power price; electricity tariff bill; energy efficiency; government agent; human experts; open-agents model; policy maker; pollutant emissions; sectoral agents; thermal power plants; Artificial intelligence; Computational modeling; Energy management; Government; Humans; Load management; Multiagent systems; Power generation; Power generation economics; Power system modeling; demand side management; intelligent agent; multi-agent system; open-agents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.228
Filename :
5230957
Link To Document :
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