A hybrid backtracking search algorithm for energy management in a microgrid
| Autor: | El-Ghazali Talbi, Zineb Garroussi, Jean-Yves Lucas, Rachid Ellaia |
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| Přispěvatelé: | Ecole Mohammadia d'Ingénieurs (EMI), Optimisation de grande taille et calcul large échelle (BONUS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université de Lille, EDF (EDF) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Numerical Analysis
Mathematical optimization Backtracking Energy management business.industry Computer science Applied Mathematics Pareto principle 7. Clean energy [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Set (abstract data type) Modeling and Simulation Encoding (memory) Distributed generation Microgrid business Operating cost ComputingMilieux_MISCELLANEOUS |
| Zdroj: | International Journal of Mathematical Modelling and Numerical Optimisation International Journal of Mathematical Modelling and Numerical Optimisation, 2021, 11 (2), pp.143. ⟨10.1504/IJMMNO.2021.114481⟩ International Journal of Mathematical Modelling and Numerical Optimisation, Inderscience, 2021, 11 (2), pp.143. ⟨10.1504/IJMMNO.2021.114481⟩ |
| ISSN: | 2040-3607 |
| DOI: | 10.1504/IJMMNO.2021.114481⟩ |
| Popis: | Recently, due to the high penetration of distributed generators and storages, and the rapid growth of environmental concerns, energy optimisation plays a vital role in the operation of microgrids. In this paper, we propose a hybrid backtracking search matheuristic algorithm with a multiobjective indirect encoding (H-MOBSA) for the multiobjective mixed-integer nonlinear formulation of economic-emission dispatch in a grid-connected microgrid. In this approach, each partial discrete solution represented by the backtracking search algorithm is associated with a set of Pareto solutions of the related continuous subproblem where the fitness and diversity assignments are adapted to take into account all associated decoded solutions. The proposed algorithm aims to provide generation planning and the battery size that satisfy the trade-off between the total operating cost and pollutant emissions under equality and inequality constraints. To show the effectiveness of our approach, the proposed H-MOBSA is tested on typical MG and compared to other algorithms. |
| Databáze: | OpenAIRE |
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