期刊文献+

基于多智能体建模的经济–电力动态模拟系统 被引量:15

Dynamic Economy and Power Simulation System Based on Multi-agent Modelling
原文传递
导出
摘要 运用多智能体(multi-agent)建模方法构建了行业、市场、政府、居民4类智能体,并进行经济–电力动态模拟系统的机制设计。通过智能体的协作与交互模拟经济个体行为的变化,从而模拟宏观政策对经济及电力需求的影响。系统采用半开放式设计,必要时专家可以将自己的智能赋予开放式智能体(open-agent),提高了有关智能体(agent)的智能性。针对国际金融危机对2008年中国经济及电力需求的影响进行模拟,结果表明所构建的模型充分反映了宏观政策和电力需求的关系。因此,给决策者提供了一个有效的经济–电力政策分析工具。 Multi-agent modelling method is used to establish four categories' agent, i.e., industry agent, market agent, government agent and resident agent, and mechanism is designed to develop dynamic economy and power simulation system. This study simulates the impact of policies on the fluctuation of economy and power demand through simulating the changes of economic individuals by cooperation and interaction among related agents. With the semi-open design, expert is able to endow his intelligence with open-agent whenever necessary, which enhances the intelligence of agent involved. Finally, by simulating the influence of economy and power demand accrued by international finance crisis in 2008, the result obtained shows that the proposed model sufficiently reflects the relationship between policy and power demand. Therefore, it provides an effective tool to analyze economy and electric power for decision maker.
出处 《中国电机工程学报》 EI CSCD 北大核心 2010年第7期85-91,共7页 Proceedings of the CSEE
基金 美国能源基金会项目(G-0601-08211)~~
关键词 多智能体 经济-电力 动态 模拟系统 multi-agent economy and power dynamic simulation system
  • 相关文献

参考文献24

  • 1约翰H霍兰.隐秩序:适应性造就复杂性[M].周晓牧,韩晖,译.上海:上海科技教育出版社,2000:10-30.
  • 2Odell J. Agent technology green paper[M]. Massachusetts: Agent Working Group of OMG, 2000: 8-14.
  • 3Chen Shuheng, Huang Yachi. Risk preference, forecasting accuracy and survival dynamics: simulations based on a multi-asset agent-based artificial stock market[J]. Journal of Economic Behavior & Organization, 2008, 67(3-4): 702-717.
  • 4Parker D C, Filatova T. A conceptual design for a bilateral agent-based land market with heterogeneous economic agents [J]. Computers, Environment and Urban Systems, 2008, 32(6): 454-463.
  • 5Tesfatsion L. Agent-based computational economics, growing economies from the bottom up[R/OL]. [2009-01-19]. http://www. econ.iastate.edu/tesfatsi/ace.htm.
  • 6袁家海,丁伟,胡兆光.基于Agent的计算经济学及其在电力市场理论中的应用综述[J].电网技术,2005,29(7):47-51. 被引量:17
  • 7宋依群.电力市场的多代理模型[J].中国电机工程学报,2005,25(8):80-83. 被引量:27
  • 8邹斌,李庆华,言茂松.电力拍卖市场的智能代理仿真模型[J].中国电机工程学报,2005,25(15):7-11. 被引量:28
  • 9Sueyoshi T, Tadiparthi G R. An agent based system for California electricity market .. a perspective of myopic machine learning [C]. International Conference on Machine Learning and Applications, Cincinnati, USA, 2007.
  • 10Watanbe I, Yamaguchi N, Shiina T. Agent-based simulation model of electricity market with stochastic unit commitment[C]. International Conference on Probabilistic Methods Applied to Power Systems, Iowa, USA, 2004.

二级参考文献152

共引文献251

同被引文献208

引证文献15

二级引证文献199

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部