Artificial Bee Colony Algorithm For Power Plant Optimization

Friedrich Biegler‐König · 2013

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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