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

• Published in: IEEE transactions on power electronics Vol. 32; no. 4; pp. 2769 - 2783
• Main Authors: Luna, Adriana C., Diaz, Nelson L., Graells, Moises, Vasquez, Juan C., Guerrero, Josep M.
• Format: Journal Article Publication
• Language: English
• Published: New York IEEE 01.04.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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; 1941-0107
• DOI: 10.1109/TPEL.2016.2581021

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.