The Energy-Saving Control of Combined Multi-Unit for Building Automatic System in the Subway

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Multi-unit operation in building automatic system (BAS) is an important part for the equipment operation; it is essentially a distributed multi agent system (MAS). In this paper, Petri net is adopted to establish the control model about the equipment operation in BAS, know the operating characteristics and start-stop conditions of energy consumption equipment in the rail which are in under different circumstances. Based on the analysis of BAS and the theory of distributed intelligent systems, according to the actual environment and energy requirements, the start-stop arrays are selected dynamically as the basis for the units operating, and ultimately achieve energy-saving operation of multi-unit control purposes.

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3597-3600

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhu P G, Zhang H, Study on energy saving strategy of the building automatic system of subway. Refrigeration and air conditioning VOL24 No.50ct. 2010. 80~83.

Google Scholar

[2] MURA TA T, Application and Theory of Petri nets, Lecture Note in Computer Science. NY, USA, 1996. 7(1): 11-28.

Google Scholar

[3] LI H, FAN Y. work flow model analysis based on time constraint Petri nets. Journal of software, 2004, 15(1): 17-26.

Google Scholar

[4] Xia N., Jiang J.G. Multi-task coalition parallel algorithms based on fuzzy set theory[C], Hefei industry university Publication, 2008, 12: 40-46.

Google Scholar

[5] S. Sen, P. Dutta. Searching for optimal coalition structures [A]. Proc. of the 4th ICMAS[C]. Boston, MA, USA: IEEE Press, 2000: 287-292.

Google Scholar

[6] Blum C. Dorigo. M. Search bias in ant colony optimization: On the role of competition-balanced systems [J]. IEEE Transactions on Evolutionary Computation, 2005, 9(2): 159-1746-8.

DOI: 10.1109/tevc.2004.841688

Google Scholar

[7] Wang J, Yao J.G. The improved algorithm application in the multi-objective dispatch of power systems, 25(2013) 107-112.

Google Scholar