Multi-agent control system with intelligent optimization for smart and energy-efficient buildings

Author

Wang, Zhu ; Yang, Rui ; Wang, Lingfeng

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA

fYear

2010

fDate

7-10 Nov. 2010

Firstpage

1144

Lastpage

1149

Abstract

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.

Keywords

building management systems; energy conservation; multi-agent systems; particle swarm optimisation; energy efficient buildings; hierarchical multiagent theory; intelligent optimization; multiagent control system; particle swarm optimization; smart buildings; Buildings; Energy efficiency; Lighting; Niobium; Temperature control; Temperature measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society

Conference_Location

Glendale, AZ

ISSN

1553-572X

Print_ISBN

978-1-4244-5225-5

Electronic_ISBN

1553-572X

Type

conf

DOI

10.1109/IECON.2010.5675530

Filename

5675530