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Unit Commitment Scheduling Using a Hybrid ANN and Lagrangian Relaxation Method
April 24-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MUE.2008.1162008 International Conference on Mult ...
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A hybrid artificial neural network (ANN) Lagrangian relaxation approach to combinatorial optimization problems in power systems, in particular to unit commitment is presented in this paper. Until now, the Lagrangian relaxation method has been studied as it appeared to be the most practical method for obtaining an approximate solution to unit commitment. Based on the use of supervised learning neural-net technology and the adaptive pattern recognition concept, which presume the relationship between power demand pattern and Lagrange multipliers (LMPs). The numerical results obtained are very encouraging.
Index Terms:
unit commitment; artificial neural networks; Lagrangian relaxation method
Citation:
Zhen Liu, Na Li, Chaohai Zhang, "Unit Commitment Scheduling Using a Hybrid ANN and Lagrangian Relaxation Method," mue, pp.481-484, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008), 2008
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