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Authors: Miguel Kpakpo ; Mhamed Itmi and Alain Cardon

Affiliation: Normandie Université, INSA and LITIS, France

ISBN: 978-989-758-275-2

Keyword(s): Cost Optimization, Decision Support Systems, Maintenance Strategy, MAS, O&M.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: The aim of this work is to propose a new method of analysis and optimization of maintenance strategy for wind farms. The objective is to help wind farm operator to carry out the optimization of the maintenance costs through profitability analysis of the wind farm according to failures, planned shutdown situations and maintenance budgets. Such approach has the advantage of combining the O&M (optimization and maintenance) technical vision and the financial vision within the meaning of profitability. The platform model is based on multi-agent systems. It aims to realize the calculation and optimization of scenarios. Agents have been identified from the knowledge of the windfarm O&M domain thanks to the wind farm operator’s point of view. The platform we’re developing is named PROMEEO, a French acronym for O&M onshore wind farms rationalization and optimization’s platform.

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Paper citation in several formats:
Kpakpo, M.; Itmi, M. and Cardon, A. (2018). A MAS Model Approach to a Wind Farm Maintenance Strategy.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 159-167. DOI: 10.5220/0006554501590167

@conference{icaart18,
author={Miguel Kpakpo. and Mhamed Itmi. and Alain Cardon.},
title={A MAS Model Approach to a Wind Farm Maintenance Strategy},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={159-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006554501590167},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A MAS Model Approach to a Wind Farm Maintenance Strategy
SN - 978-989-758-275-2
AU - Kpakpo, M.
AU - Itmi, M.
AU - Cardon, A.
PY - 2018
SP - 159
EP - 167
DO - 10.5220/0006554501590167

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