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Title:
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Multiobjective optimization of multi-carrier energy system using a combination of ANFIS and genetic algorithms
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Author:
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Kampouropoulos, Konstantinos; Andrade, Fabio; Sala Cardoso, Enric; García Espinosa, Antonio; Romeral Martínez, José Luis
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
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Abstract:
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This paper presents a novel method for the energy optimization of multi-carrier energy systems. The presented method combines an adaptive neuro-fuzzy inference system, to model and forecast the power demand of a plant, and a genetic algorithm to optimize its energy flow taking into account the dynamics of the system and the equipment’s thermal inertias. The objective of the optimization algorithm is to satisfy the total power demand of the plant and to minimize a set of optimization criteria, formulated as energy usage, monetary cost and environmental cost. The presented method has been validated under real conditions in the car manufacturing plant of SEAT in Spain in the framework of an FP7 European research project. |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria elèctrica
-Electrical engineering
-Energy optimization
-Multicarrier systems
-Dynamic optimization
-Mixed-integer programming
-Multiobjective problem
-Energy hub
-Energy prediction
-Optimal control
-Manufacturing plants
-Enginyeria elèctrica |
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Rights:
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Document type:
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Article - Submitted version
Article |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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