Non-linear Total Energy Optimisation of a Fleet of Power Plants

In order to optimise the energy production in a fleet of power plants, it is necessary to solve a mixed integer optimisation problem. Traditionally, the continuous parts of the problem are linearized and a Simplex scheme is applied. Alternatively, heuristic “bionic” optimisation methods can be used...

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Bibliographic Details
Published inApplications and Innovations in Intelligent Systems XIV pp. 88 - 96
Main Authors Nolle, Lars, Biegler-König, Friedrich, Deeskow, Peter
Format Book Chapter
LanguageEnglish
Published United Kingdom Springer London, Limited 2006
Springer London
Subjects
Artificial intelligence
Elementary Step
Mixed Integer Linear Programming
Power Plant
Simulated Annealing
Unit Commitment
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ISBN9781846286650
1846286654
DOI10.1007/978-1-84628-666-7_7

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Summary:In order to optimise the energy production in a fleet of power plants, it is necessary to solve a mixed integer optimisation problem. Traditionally, the continuous parts of the problem are linearized and a Simplex scheme is applied. Alternatively, heuristic “bionic” optimisation methods can be used without having to linearize the problem. Weare going to demonstrate this approach by modelling power plant blocks with fast Neural Networks and optimising the operation of multi-block power plants over one day with Simulated Annealing.
ISBN:9781846286650
1846286654
DOI:10.1007/978-1-84628-666-7_7