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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Artificial Bee Colony Algorithm
For Power Plant Optimization |
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Authors: |
Friedrich
Biegler-Koenig |
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Published in:
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(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –
30th, 2013 |
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Citation
format: |
Friedrich Biegler-Koenig (2013). Artificial Bee Colony Algorithm
For Power Plant Optimization, ECMS 2013 Proceedings
edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling
and Simulation. doi:10.7148/2013-0788 |
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DOI: |
http://dx.doi.org/10.7148/2013-0788 |
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Abstract: |
The mathematical model of a
fleet of power plants can be optimized with respect to energy production.
This involves the solution of a mixed integer problem. Traditionally these
problems are solved by linearization of the continuous and non-linear parts
and subsequent application of a Simplex-type algorithm. In order to handle
nonlinearities, so-called "biomimetic"
optimization algorithms can be applied. As an example, we are proposing an
approach to first model power plant blocks with fast Neural Networks. Afterwards,
we optimize the operation of multi-block power plants over a period of time
using an Artificial Bee Colony Algorithm. |
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