Microgrid Planning Under Uncertainty

This paper presents a model for the microgrid planning problem with uncertain physical and financial information. The microgrid planning problem investigates the economic viability of microgrid deployment and determines the optimal generation mix of distributed energy resources (DERs) for installati...

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Veröffentlicht in:IEEE transactions on power systems Jg. 30; H. 5; S. 2417 - 2425
Hauptverfasser: Khodaei, Amin, Bahramirad, Shay, Shahidehpour, Mohammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.09.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Density estimation robust algorithm
Distributed energy resource
Economics
Electric utilities
Energy storage
Investment
microgrid planning
Microgrids
Optimization
Planning
real-time market price
robust optimization
Uncertainty
ISSN:0885-8950, 1558-0679
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Zusammenfassung:This paper presents a model for the microgrid planning problem with uncertain physical and financial information. The microgrid planning problem investigates the economic viability of microgrid deployment and determines the optimal generation mix of distributed energy resources (DERs) for installation. Net metering is considered for exchanging power with the main grid and lowering the cost of unserved energy and DER investments. A robust optimization approach is adopted for considering forecast errors in load, variable renewable generation, and market prices. The microgrid islanding is further treated as a source of uncertainty. The microgrid planning problem is decomposed into an investment master problem and an operation subproblem. The optimal planning decisions determined in the master problem are employed in the subproblem to examine the optimality of the master solution by calculating the worst-case optimal operation under uncertain conditions. Optimality cuts sent to the master problem will govern subsequent iterations. Numerical simulations exhibit the effectiveness of the proposed model and further analyze the sensitivity of microgrid planning results on variety levels of uncertainty.
Bibliographie:ObjectType-Article-1
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2014.2361094