Multi-agent simulation of generation expansion in electricity markets

被引：0

作者：

Botterud, Audun ^{[1
]}

Mahalik, Matthew R. ^{[1
]}

Veselka, Thomas D. ^{[1
]}

Ryu, Heon-Su ^{[2
,3
]}

Sohn, Ki-Won ^{[2
,3
]}

机构：

[1] Argonne Natl Lab, Decis & Informat Sci Div, 9700 S Cass Ave, Argonne, IL 60439 USA

[2] Korea Power Exchange, Power Planning Dept, Seoul 135791, South Korea

[3] Korea Power Exchange, Market Operat Dept, Seoul 135791, South Korea

来源：

2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10 | 2007年

关键词：

electricity markets; generation expansion; agent-based modeling; probabilistic dispatch; decision analysis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a new multi-agent model of generation expansion in electricity markets. The model simulates generation investment decisions of decentralized generating companies (GenCos) interacting in a complex, multidimensional environment A probabilistic dispatch algorithm calculates prices and profits for new candidate units in different future states of the system. Uncertainties in future load, hydropower conditions, and competitors' actions are represented in a scenario tree, and decision analysis is used to identify the optimal expansion decision for each individual GenCo. We test the model using real data for the Korea power system under different assumptions about market design, market concentration, and GenCo's assumed expectations about their competitors' investment decisions.

引用

页码：1384 / 1391

页数：8

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