Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant

Rubén López-Rodríguez, Adriana Aguilera-González, Ionel Vechiu and Seddik Bacha
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Rubén López-Rodríguez: ESTIA Institute of Technology, Technopole Izarbel, 64210 Bidart, France
Adriana Aguilera-González: ESTIA Institute of Technology, Technopole Izarbel, 64210 Bidart, France
Ionel Vechiu: ESTIA Institute of Technology, Technopole Izarbel, 64210 Bidart, France
Seddik Bacha: Grenoble INP (Institute of Engineering University Grenoble Alpes), Université Grenoble Alpes, CNRS , G2Elab, F-38000 Grenoble, France

Energies, 2021, vol. 14, issue 4, 1-33

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: energy management system; day-ahead power dispatching plan; optimal model predictive control; Li-ION battery storage system; wind turbine system; renewable energies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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