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Article

Multi-Objective Predictive Control Optimization with Varying Term Objectives: A Wind Farm Case Study

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Research lab on Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, Belgium
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EEDT—Core Lab Decisions and Controls, Flanders Make, Tech Lane Science Park 131, 9052 Ghent, Belgium
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Department of Automatic Control, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania
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Department of Automatic Control and Applied Informatics, Gheorghe Asachi Technical University of Iasi, D. Mangeron Blvd 27, 700050 Iasi, Romania
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Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863, 090150 Guayaquil, Ecuador
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Electrical Energy Lab, Ghent University, Tech Lane Science Park 131, 9052 Ghent, Belgium
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Department of Electromechanics, Antwerp University, Op3Mech, Groenenborgerlaan 171, 2020 Antwerp, Belgium
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Author to whom correspondence should be addressed.
Processes 2019, 7(11), 778; https://doi.org/10.3390/pr7110778
Received: 24 September 2019 / Revised: 22 October 2019 / Accepted: 24 October 2019 / Published: 29 October 2019
(This article belongs to the Special Issue Optimization for Control, Observation and Safety)
This paper introduces the incentive of an optimization strategy taking into account short-term and long-term cost objectives. The rationale underlying the methodology presented in this work is that the choice of the cost objectives and their time based interval affect the overall efficiency/cost balance of wide area control systems in general. The problem of cost effective optimization of system output is taken into account in a multi-objective predictive control formulation and applied on a windmill park case study. A strategy is proposed to enable selection of optimality criteria as a function of context conditions of system operating conditions. Long-term economic objectives are included and realistic simulations of a windmill park are performed. The results indicate the global optimal criterium is no longer feasible when long-term economic objectives are introduced. Instead, local sub-optimal solutions are likely to enable long-term energy efficiency in terms of balanced production of energy and costs for distribution and maintenance of a windmill park. View Full-Text
Keywords: windmill park; wind speed estimator; multi-objective optimization; sequential optimisation; distributed model predictive control windmill park; wind speed estimator; multi-objective optimization; sequential optimisation; distributed model predictive control
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MDPI and ACS Style

Ionescu, C.M.; Caruntu, C.F.; Cajo, R.; Ghita, M.; Crevecoeur, G.; Copot, C. Multi-Objective Predictive Control Optimization with Varying Term Objectives: A Wind Farm Case Study. Processes 2019, 7, 778. https://doi.org/10.3390/pr7110778

AMA Style

Ionescu CM, Caruntu CF, Cajo R, Ghita M, Crevecoeur G, Copot C. Multi-Objective Predictive Control Optimization with Varying Term Objectives: A Wind Farm Case Study. Processes. 2019; 7(11):778. https://doi.org/10.3390/pr7110778

Chicago/Turabian Style

Ionescu, Clara M., Constantin F. Caruntu, Ricardo Cajo, Mihaela Ghita, Guillaume Crevecoeur, and Cosmin Copot. 2019. "Multi-Objective Predictive Control Optimization with Varying Term Objectives: A Wind Farm Case Study" Processes 7, no. 11: 778. https://doi.org/10.3390/pr7110778

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