DocumentCode :
270404
Title :
A Centralized Energy Management System for Isolated Microgrids
Author :
Olivares, Daniel E. ; Cañizares, Claudio A. ; Kazerani, Mehrdad
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Volume :
5
Issue :
4
fYear :
2014
fDate :
Jul-14
Firstpage :
1864
Lastpage :
1875
Abstract :
This paper presents the mathematical formulation of the microgrid´s energy management problem and its implementation in a centralized Energy Management System (EMS) for isolated microgrids. Using the model predictive control technique, the optimal operation of the microgrid is determined using an extended horizon of evaluation and recourse, which allows a proper dispatch of the energy storage units. The energy management problem is decomposed into Unit Commitment (UC) and Optimal Power Flow (OPF) problems in order to avoid a mixed-integer non-linear formulation. The microgrid is modeled as a three-phase unbalanced system with presence of both dispatchable and non-dispatchable distributed generation. The proposed EMS is tested in an isolated microgrid based on a CIGRE medium-voltage benchmark system. Results justify the need for detailed three-phase models of the microgrid in order to properly account for voltage limits and procure reactive power support.
Keywords :
distributed power generation; energy management systems; energy storage; load flow; power generation control; power generation dispatch; power generation scheduling; predictive control; CIGRE medium-voltage benchmark system; EMS; OPF problems; UC; centralized energy management system; dispatchable distributed generation; energy storage units; isolated microgrids; mathematical formulation; microgrid energy management problem; mixed-integer nonlinear programming; model predictive control technique; nondispatchable distributed generation; optimal power flow problem; three-phase unbalanced system; unit commitment; Energy management; Equations; Indexes; Mathematical model; Microgrids; Reactive power; Synchronous generators; Energy management system; OPF; microgrid; model predictive control; optimal dispatch; smart grid;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2013.2294187
Filename :
6805674
Link To Document :
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