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Start-up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms

TitleStart-up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2010
AuthorsBertini, I., De Felice Matteo, Moretti F., and Pizzuti S.
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6025 LNCS
ISBN Number3642122418; 9783642122415
KeywordsCombined cycle power plants, Computer software, Decision makers, decision making, Evolutionary algorithms, Evolutionary computations, Multi objective evolutionary algorithms, Multiobjective approach, Multiobjective optimization, NSGA-II, NSGA-II algorithm, Optimisations, Pareto front, Pollution emissions, Software simulator, Start-ups

In this paper we present a study of the application of Evolutionary Computation methods to the optimisation of the start-up of a combined cycle power plant. We propose a multiobjective approach considering different objectives for the optimisation in order to reduce the pollution emissions and to maximise the efficiency of the plant. We compare a multiobjective evolutionary algorithm (NSGA-II) with 2 and 5 objectives on a software simulator and then we use different metrics to measure the performances. We show that NSGA-II algorithm is able to provide a set of solutions, defined as Pareto Front, that represent the best trade-off on the different objectives among those the decision maker can choose. © 2010 Springer-Verlag Berlin Heidelberg.


cited By 2; Conference of EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, EvoApplications 2010 ; Conference Date: 7 April 2010 Through 9 April 2010; Conference Code:80274

Citation KeyBertini2010151