Multi-agent Control System with Intelligent Optimization for Smart and Energy-efficient Buildings

被引:0
|
作者
Wang, Zhu [1 ]
Yang, Rui [1 ]
Wang, Lingfeng [1 ]
机构
[1] Univ Toledo, Dept Elect Engn & Comp Sci, Toledo, OH 43606 USA
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a new control system with an intelligent optimizer is developed which can be applied to energy and comfort management in the smart and energy-efficient buildings. Hierarchical multi-agent theory is used to build this control system, which contains agent-controllers at two levels - a central coordinator-agent at the higher level and multiple local controller-agents at the lower level. Particle Swarm Optimization (PSO) is adopted to optimize the set points of the control system during system operations. This multi-agent intelligent control system is utilized to minimize the main conflict in smart and energy-efficient buildings in terms of power consumption and customers' comfort.
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页数:6
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