Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms

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.

[1]  C. Fonseca,et al.  GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION , 1993 .

[2]  V. Cutello,et al.  A multi-objective evolutionary approach to the protein structure prediction problem , 2006, Journal of The Royal Society Interface.

[3]  Tetsuya Funatsu.  コンバインドサイクルの最適起動に関する検討 : 熱工学,内燃機関,動力など , 2001 .

[4]  Joshua D. Knowles,et al.  On metrics for comparing nondominated sets , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[5]  Peter J. Fleming,et al.  Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.

[6]  Kalyanmoy Deb,et al.  A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.

[7]  Jochen Ströhle,et al.  Modeling and investigation start-up procedures of a combined cycle power plant , 2008 .

[8]  Francesco Casella,et al.  Fast Start-up of a Combined-Cycle Power Plant: a Simulation Study with Modelica , 2006 .

[9]  D. Corne,et al.  On Metrics for Comparing Non Dominated Sets , 2001 .

[10]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[11]  Kalyanmoy Deb,et al.  Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.

[12]  Carlos A. Coello Coello,et al.  An updated survey of GA-based multiobjective optimization techniques , 2000, CSUR.

[13]  R. K. Ursem.  Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[14]  Jason R. Schott.  Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization. , 1995 .