Practical Energy Management Systems for Isolated Microgrids

This paper presents practical energy management system (EMS) models which consider the operational constraints of distributed energy resources, active-reactive power balance, unbalanced system configuration and loading, and voltage dependent loads. A novel linearization approach is proposed and vali...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2019-09, Vol.10 (5), p.4762-4775
Main Authors: Solanki, Bharatkumar V., Canizares, Claudio A., Bhattacharya, Kankar
Format: Article
Language:English
Subjects:
Active-reactive power
Biological system modeling
Constraint modelling
Distributed generation
Electric potential
Electric power distribution
Electric power grids
Energy management
Energy management system
Energy management systems
Energy sources
Feeders
Generators
Load modeling
Mathematical model
microgrid
Microgrids
Mixed integer
optimal power flow
Power flow
Quadratic programming
Reactive power
renewable energy integration
unbalancing
Unit commitment
Voltage
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Summary:This paper presents practical energy management system (EMS) models which consider the operational constraints of distributed energy resources, active-reactive power balance, unbalanced system configuration and loading, and voltage dependent loads. A novel linearization approach is proposed and validated based on the fact that, for isolated microgrids, due to the characteristics of feeders, network losses, and voltage drops across feeders are relatively small. The proposed EMS models are mixed integer quadratic programming problems, requiring less computation time and thus suitable for online applications. The practical EMS models are compared with a typical decoupled unit commitment and optimal power flow-based EMS with and without consideration of system unbalancing. The models, along with "standard" EMS models, are tested, validated, and compared using a CIGRE medium voltage benchmark system and the real isolated microgrid of Kasabonika Lake First Nation in Northern Ontario, Canada. The presented results demonstrate the effectiveness and practicability of the proposed models.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2018.2868130