Application of intelligent agent-based simulation to electricity market

被引：0

作者：

Wang Y.-P. ^{[1
]}

Yang Y. ^{[1
]}

Jing Z.-X. ^{[1
]}

Chen H.-Y. ^{[1
]}

Chen T.-E. ^{[2
]}

机构：

[1] Schol of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong

[2] Northwest China Grid Company Limited, Xi'an 710048, Shaanxi

来源：

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2010年 / 38卷 / 03期

关键词：

Electricity market; Greedy algorithm; Intelligent agent; Q-learning algorithm; Simulation; VRE-learning algorithm;

D O I：

10.3969/j.issn.1000-565X.2010.03.019

中图分类号：

学科分类号：

摘要：

The intelligent agent-based simulation has become a novel and powerful tool in the study of electricity market. This paper deals with the construction of a simulation system of electricity market. In the investigation, first, the intelligent-agent learning algorithms suitable for simulating the strategic bidding of electricity firms are introduced. Next, the applications of the VRE-learning algorithm, the Q-learning algorithm and the greedy algorithm to the simulation system are illustrated, and the corresponding implementation frameworks are proposed. Then, the techniques for the learning algotrithms to handle the convergence of agent bidding are discussed. Finally, an example is performed to test the effectiveness of the intelligent agent-based simulation. The results indicate that the intelligent-agent learning algorithms are capable of simulating the rational bidding behavior of electricity firms.

引用

页码：109 / 113+122

共 15 条

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