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Author Ela, Erik.

Title A flexible power system operations simulation model for assessing wind integration [electronic resource] : preprint / E. Ela and M. Milligan, M. O'Malley.

Imprint [Golden, CO] : National Renewable Energy Laboratory, [2011]

Copies

Location Call No. OPAC Message Status
 Axe Federal Documents Online  E 9.17:NREL/CP-5500-50641    ---  Available
Description 1 online resource (8 p.) : ill. (some col.)
Series NREL/CP ; 5500-50641
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5500-50641.
System Details Full text available via Internet in .pdf format. Adobe Acrobat Reader required.
Note Title from title screen (viewed March 28, 2011).
"March 2011."
"To be presented at the Power & Energy Society General Meeting, Detroit, Michigan, July 24-29, 2011."
Summary Unlike non-variable (VG) generation sources, wind power has a maximum generation limit that changes through time (variability) and this limit is also not known with perfect accuracy at times in the future (uncertainty). These impacts can create challenges for system operators when ensuring enough units will be online to meet reliability requirements, and to schedule the system to maintain a stable system frequency and minimize the imbalance between generation and load. This paper describes a model, the Flexible Energy Scheduling Tool for Integration of Variable generation (FESTIV), that was developed to mimic operator behavior using a combination of security-constrained unit commitment, security-constrained economic dispatch, and automatic generation control programs. New metrics are used to compare reliability in terms of energy imbalance for different systems or different market and operational structures at very high time resolution. Finally, an example application of the tool and results for a test system are shown.
Bibliography Includes bibliographical references (p. 8).
Funding DE-AC-08GO28308 WE11.0920
Subject Wind power -- Computer simulation.
Interconnected electric utility systems -- Mathematical models.
Electric power-plants -- Load -- Management.
Added Author Milligan, Michael R.
O'Malley, Mark.
IEEE Power & Energy Society. General Meeting (2011 : Detroit, Mich.)
National Renewable Energy Laboratory (U.S.)
Gpo Item No. 0430-P-04 (online)
Sudoc No. E 9.17:NREL/CP-5500-50641

 
    
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