Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification

Adriana Carolina Luna Hernández, Nelson Leonardo Diaz Aldana, Moises Graells, Juan Carlos Vasquez Quintero, Josep M. Guerrero

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

41 Citationer (Scopus)
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Resumé

Microgrids are energy systems that aggregate distributed energy resources, loads and power electronics devices in a stable and balanced way. They rely on energy management
systems to schedule optimally the distributed energy resources. Conventionally, many scheduling problems have been solved by using complex algorithms that, even so, do not consider the operation of the distributed energy resources. This paper presents the modeling and design of a modular energy management system and its integration to a grid-connected battery-based microgrid. The scheduling model is a power generation-side strategy, defined as a general mixed-integer linear programming by taking into
account two stages for proper charging of the storage units. This model is considered as a deterministic problem that aims to minimize operating costs and promote self-consumption based on 24-hour ahead forecast data. The operation of the microgrid is complemented with a supervisory control stage that compensates any mismatch between the offline scheduling process and the real time microgrid operation. The proposal has been tested experimentally in a hybrid microgrid at the Microgrid Research
Laboratory in Aalborg University.
OriginalsprogEngelsk
TidsskriftI E E E Transactions on Power Electronics
Vol/bind32
Udgave nummer4
Sider (fra-til)2769-2783
Antal sider15
ISSN0885-8993
DOI
StatusUdgivet - apr. 2017

Fingeraftryk

Energy management systems
Energy resources
Linear programming
Scheduling
Power electronics
Operating costs
Power generation
Battery management systems

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    title = "Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification",
    abstract = "Microgrids are energy systems that aggregate distributed energy resources, loads and power electronics devices in a stable and balanced way. They rely on energy managementsystems to schedule optimally the distributed energy resources. Conventionally, many scheduling problems have been solved by using complex algorithms that, even so, do not consider the operation of the distributed energy resources. This paper presents the modeling and design of a modular energy management system and its integration to a grid-connected battery-based microgrid. The scheduling model is a power generation-side strategy, defined as a general mixed-integer linear programming by taking intoaccount two stages for proper charging of the storage units. This model is considered as a deterministic problem that aims to minimize operating costs and promote self-consumption based on 24-hour ahead forecast data. The operation of the microgrid is complemented with a supervisory control stage that compensates any mismatch between the offline scheduling process and the real time microgrid operation. The proposal has been tested experimentally in a hybrid microgrid at the Microgrid ResearchLaboratory in Aalborg University.",
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    Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids : Modeling, Design, and Experimental Verification. / Hernández, Adriana Carolina Luna; Aldana, Nelson Leonardo Diaz; Graells, Moises; Quintero, Juan Carlos Vasquez; Guerrero, Josep M.

    I: I E E E Transactions on Power Electronics, Bind 32, Nr. 4, 04.2017, s. 2769-2783.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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    AU - Hernández, Adriana Carolina Luna

    AU - Aldana, Nelson Leonardo Diaz

    AU - Graells, Moises

    AU - Quintero, Juan Carlos Vasquez

    AU - Guerrero, Josep M.

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    AB - Microgrids are energy systems that aggregate distributed energy resources, loads and power electronics devices in a stable and balanced way. They rely on energy managementsystems to schedule optimally the distributed energy resources. Conventionally, many scheduling problems have been solved by using complex algorithms that, even so, do not consider the operation of the distributed energy resources. This paper presents the modeling and design of a modular energy management system and its integration to a grid-connected battery-based microgrid. The scheduling model is a power generation-side strategy, defined as a general mixed-integer linear programming by taking intoaccount two stages for proper charging of the storage units. This model is considered as a deterministic problem that aims to minimize operating costs and promote self-consumption based on 24-hour ahead forecast data. The operation of the microgrid is complemented with a supervisory control stage that compensates any mismatch between the offline scheduling process and the real time microgrid operation. The proposal has been tested experimentally in a hybrid microgrid at the Microgrid ResearchLaboratory in Aalborg University.

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