Frequency Control of the Building Automation System in Rail Transit Stations Based on Multi-Objective Optimal Algorithm

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Abstract:

The Building automation system (BAS) in rail transit stations with frequency optimization of unit control system is an important part for the equipment operation; it is essentially a distributed multi agent system (MAS). Based on the analysis of building automation system operation mode and the multi-objective optimal control theory, the control parameter set of frequency conversion unit is installed. After rolling optimization, the optimal solutions parameter set is got. Eventually the purpose that multiple unit run as the way of energy saving is achieved.

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1569-1572

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] X.X. Cui. Multi-objective evolutionary algorithms and applications, National defense industry press, 6(2006) 1-5.

Google Scholar

[2] Deb K . Multi-objective optimization using evolutionary algorithms. Chichester, John Wiley&Sons, (2001) 25-29.

Google Scholar

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

Google Scholar

[4] Blum C., Dorigo.M. Search bias in ant colony optimization: On the role of competition-balanced systems[J]. IEEE Transactions on Evolutionary Computation, 9(2005)159-174.

DOI: 10.1109/tevc.2004.841688

Google Scholar

[5] Z.N. Wei,S. Wu. Multi-objective optimal allocation of power quality detector[J]. Grid technology, 36(2012) 178-179.

Google Scholar

[6] F. Liu. The production scheduling problem based on multi objective evolutionary algorithm[D], Master Thesis of National University of Defense Technology, 11(2009) 6-8.

Google Scholar

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

Google Scholar