A flexible power system operations simulation model for assessing wind integration

preprint

A flexible power system operations simulation ...
Erik Ela, Erik Ela
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Last edited by MARC Bot
December 13, 2022 | History

A flexible power system operations simulation model for assessing wind integration

preprint

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.

Publish Date
Language
English

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Book Details


Edition Notes

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."

Includes bibliographical references (p. 8).

DE-AC-08GO28308 WE11.0920

Full text available via Internet in .pdf format. Adobe Acrobat Reader required.

Published in
Golden, CO]
Series
NREL/CP -- 5500-50641, Conference paper (National Renewable Energy Laboratory (U.S.)) -- 5500-50641.

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (8 p.)

Edition Identifiers

Open Library
OL43925311M
OCLC/WorldCat
709593468

Work Identifiers

Work ID
OL32185838W

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December 13, 2022 Created by MARC Bot import new book