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基于多智能体的分布式发电系统协调优化

郭红霞 吴捷 康龙云 杨苹

控制理论与应用2012,Vol.29Issue(2):235-239,5.
控制理论与应用2012,Vol.29Issue(2):235-239,5.

基于多智能体的分布式发电系统协调优化

Coordinated optimization of distributed hybrid generation system based on multiagent system

郭红霞 1吴捷 1康龙云 1杨苹2

作者信息

  • 1. 华南理工大学电力学院,广东广州510640
  • 2. 广东省绿色能源重点实验室,广东广州510640
  • 折叠

摘要

Abstract

A novel dynamic contract-net-protocol algorithm based on the evaluation system is proposed for the coordi nated optimization of hybrid generation system. A distributed coordinated multiagent system (MAS) is built based on the characteristics of the distributed hybrid generation system. Each basic renewable generation unit is viewed as an electrical source agent (ESA). The energy management system is viewed as the management coordinated agent (MCA). All ESA in an area constitute an agent domain registered and controlled by the MCA. All agent domains are gathered together to form a distributed network structure. In this structure, a novel dynamic contractnet protocol algorithm based on the eval uation system optimally coordinates the power generation, which simplifies the bidding procedures, reduces the amount of correspondences, and improves the optimization efficiency. In the bidding process, the MCA is the tenderee, the ESA is the bidder. Bidding is carried out based on the idleness principle according the local environment. The simulation on a small-scale hybrid renewable power system shows that the proposed optimization method realizes the stable operation of the whole generation svstem.

关键词

分布式发电系统:Agent域/合同网协议:运行优化

Key words

distributed generation system/Agent domain/contract net protocol/optimum operation

分类

信息技术与安全科学

引用本文复制引用

郭红霞,吴捷,康龙云,杨苹..基于多智能体的分布式发电系统协调优化[J].控制理论与应用,2012,29(2):235-239,5.

基金项目

国家高技术研究发展计划资助项目(863) ()

国家自然科学基金资助项1~1 ()

中央高校基本科研业务费专项资金资助项目(2011ZM0018). ()

控制理论与应用

OA北大核心CSCDCSTPCD

1000-8152

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