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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Veröffentlicht in:IEEE transactions on power electronics Jg. 32; H. 4; S. 2769 - 2783
Hauptverfasser: Luna, Adriana C., Diaz, Nelson L., Graells, Moises, Vasquez, Juan C., Guerrero, Josep M.
Format: Journal Article Verlag
Sprache:Englisch
Veröffentlicht: New York IEEE 01.04.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Zusammenfassung: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.
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ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2016.2581021