LAPSE:2023.29741
Published Article
LAPSE:2023.29741
Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant
April 13, 2023
Abstract
This paper presents a multi-objective energy management system (EMS) to manage the power dispatch of a hybrid power plant (HPP), consisting of a grid-connected wind farm and a Li-ION battery storage system on the island of Guadeloupe’s electrical grid. Via a controller based on Model Predictive Control (MPC), the EMS solves the problem of optimization by considering the production forecast data and managing several operation rules, which ensures meet energy targets considered for a sustainable power dispatching plan. The proposed strategy is tested in a PowerFactory/MATLAB co-simulation environment.
Keywords
day-ahead power dispatching plan, energy management system, Li-ION battery storage system, optimal model predictive control, renewable energies, wind turbine system
Suggested Citation
López-Rodríguez R, Aguilera-González A, Vechiu I, Bacha S. Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant. (2023). LAPSE:2023.29741
Author Affiliations
López-Rodríguez R: ESTIA Institute of Technology, Technopole Izarbel, 64210 Bidart, France; Grenoble INP (Institute of Engineering University Grenoble Alpes), Université Grenoble Alpes, CNRS , G2Elab, F-38000 Grenoble, France [ORCID]
Aguilera-González A: ESTIA Institute of Technology, Technopole Izarbel, 64210 Bidart, France [ORCID]
Vechiu I: ESTIA Institute of Technology, Technopole Izarbel, 64210 Bidart, France [ORCID]
Bacha S: Grenoble INP (Institute of Engineering University Grenoble Alpes), Université Grenoble Alpes, CNRS , G2Elab, F-38000 Grenoble, France [ORCID]
Journal Name
Energies
Volume
14
Issue
4
First Page
1066
Year
2021
Publication Date
2021-02-18
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14041066, Publication Type: Journal Article
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LAPSE:2023.29741
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https://doi.org/10.3390/en14041066
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