
Digital Library of the
European Council for Modelling and Simulation 
Title: 
Artificial Bee Colony Algorithm
For Power Plant Optimization 
Authors: 
Friedrich
BieglerKoenig 
Published in: 
(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
9780956494467 27^{th}
European Conference on Modelling and Simulation, Aalesund, Norway, May 27^{th} –
30^{th}, 2013 
Citation
format: 
Friedrich BieglerKoenig (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:10.7148/20130788 
DOI: 
http://dx.doi.org/10.7148/20130788 
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 nonlinear parts
and subsequent application of a Simplextype algorithm. In order to handle
nonlinearities, socalled "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 multiblock power plants over a period of time
using an Artificial Bee Colony Algorithm. 
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