Energy Management Problems Under Uncertainties for Grid-Connected Microgrids: A Chance Constrained Programming Approach

This paper studies two energy management problems under uncertainties for a grid-connected microgrid. The problems are motivated by practical microgrid applications such as peak power shaving and frequency regulation. These applications require constraints on the microgrid energy output, which is un...

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Veröffentlicht in:IEEE transactions on smart grid Jg. 8; H. 6; S. 2585 - 2596
Hauptverfasser: Jianzhe Liu, Hua Chen, Wei Zhang, Yurkovich, Benjamin, Rizzoni, Giorgio
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.11.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Automotive engineering
Batteries
chance constrained programming
demand response
Distributed generation
Electric power distribution
Electric power grids
Energy management
Linear programming
Microgrids
Probability distribution
Programming
Random loads
Renewable resources
Shaving
Uncertainty
ISSN:1949-3053, 1949-3061
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Zusammenfassung:This paper studies two energy management problems under uncertainties for a grid-connected microgrid. The problems are motivated by practical microgrid applications such as peak power shaving and frequency regulation. These applications require constraints on the microgrid energy output, which is uncertain due to the integration with renewable resources and random loads. Both problems are formulated as chance constrained programming problems to systematically incorporate uncertainties. We also show that the resulting chance constrained programming problems can both be solved using linear programming. The proposed formulation and solution are verified by two case studies originated from real world applications.
Bibliographie:ObjectType-Article-1
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ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2531004