基于多智能体分布式发电系统协调优化.PDF

基于多智能体分布式发电系统协调优化.PDF

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29 2 Vol. 29 No. 2 2012 2 Control Theory Applications Feb. 2012 :2012 , , , (1. , 510640; 2. , 510640) : , . , Multi-Agent. Agent, Agent. AgentAgent, AgentAgent . Agent. , , , . Agent, . , , . : ; Agent; ; : TM743 : A Coordinated optimization of distributed hybrid generation system based on multi-agent system GUO Hong-xia , WU Jie , KANG Long-yun , YANG Ping (1. School of Electric Power, South China University of Technology, Guangzhou Guangdong 510640, China; 2. Guangdong Key Laboratory of Clean Energy Technology, Guangzhou Guangdong 510640, China) 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 multi-agent 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 contract-net 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 i

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