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

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 us...

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Vydané v:	IEEE transactions on power electronics Ročník 32; číslo 4; s. 2769 - 2783
Hlavní autori:	Luna, Adriana C., Diaz, Nelson L., Graells, Moises, Vasquez, Juan C., Guerrero, Josep M.
Médium:	Journal Article Publikácia
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Batteries Convertidors de corrent elèctric Design engineering Dispersed storage and generation Distributed generation Electric power generation Electric power grids Electronic devices Energia Energy management Energy management systems Energy resources Energy sources Enginyeria química Generators Gestió Hybrid systems Integer programming Linear programming Load distribution (forces) Microgrids Microgrids (Smart power grids) Modelling Modular design Modular systems Operating costs Optimization Phase locked loops Photovoltaic cells Power generation scheduling Power resources Real time operation Resource management Resource scheduling Solar cells Storage units Stress concentration Supervisory control Àrees temàtiques de la UPC
ISSN:	0885-8993, 1941-0107
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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 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, Aalborg University.
AbstractList	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, Aalborg University. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 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, Aalborg University. Peer Reviewed
Author	Vasquez, Juan C. Diaz, Nelson L. Guerrero, Josep M. Luna, Adriana C. Graells, Moises
Author_xml	– sequence: 1 givenname: Adriana C. surname: Luna fullname: Luna, Adriana C. email: acl@et.aau.dk organization: Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark – sequence: 2 givenname: Nelson L. surname: Diaz fullname: Diaz, Nelson L. email: nda@et.aau.dk organization: Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark – sequence: 3 givenname: Moises surname: Graells fullname: Graells, Moises email: moises.graells@upc.edu organization: Dept. of Chem. Eng., Univ. Politec. de Catalunya, Barcelona, Spain – sequence: 4 givenname: Juan C. surname: Vasquez fullname: Vasquez, Juan C. email: juq@et.aau.dk organization: Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark – sequence: 5 givenname: Josep M. surname: Guerrero fullname: Guerrero, Josep M. email: joz@et.aau.dk organization: Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
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Snippet	Microgrids are energy systems that aggregate distributed energy resources, loads, and power electronics devices in a stable and balanced way. They rely on... © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including...
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SubjectTerms	Batteries Convertidors de corrent elèctric Design engineering Dispersed storage and generation Distributed generation Electric power generation Electric power grids Electronic devices Energia Energy management Energy management systems Energy resources Energy sources Enginyeria química Generators Gestió Hybrid systems Integer programming Linear programming Load distribution (forces) Microgrids Microgrids (Smart power grids) Modelling Modular design Modular systems Operating costs Optimization Phase locked loops Photovoltaic cells Power generation scheduling Power resources Real time operation Resource management Resource scheduling Solar cells Storage units Stress concentration Supervisory control Àrees temàtiques de la UPC
Title	Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification
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