A Study of Electricity Market Dynamics Using Invasive Weed Colonization Optimization

被引:14
作者
Sahraei-Ardakani, Mostafa [1 ]
Roshanaei, Mahnaz [1 ]
Rahimi-Kian, Ashkan [1 ]
Lucas, Caro [1 ]
机构
[1] Univ Tehran, Coll Engn, ECE Dept, CIPCE, Tehran, Iran
来源
2008 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND GAMES | 2008年
关键词
D O I
10.1109/CIG.2008.5035650
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A method based on the novel optimization algorithm of Invasive Weed colonization Optimization (IWO) is used to study electricity market dynamics. Dynamics of such a multi agent system is analyzed using aspects both from Game theory and IWO. The method is integrated with a power system simulator to consider all the constraints of a realistic power system to make sure that the results are reliable. The IWO has also been introduced briefly and it is discussed why this method is supposed to be appropriate in such problems. Several simulation studies are presented to show how the method works. These outputs are compared with what exist in the literature. It is shown that making use of search based optimization algorithms such as IWO is necessary for consideration of all the constraints and details.
引用
收藏
页码:276 / 282
页数:7
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