DocumentCode
2068584
Title
Multi-settlement simulation of reserve procurement using stochastic optimal power flow
Author
Taiyou Yong ; Philbrick, C.R. ; Entriken, R. ; Tuohy, A.
Author_Institution
Eversource Consulting, Folsom, CA, USA
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
7
Abstract
This paper presents a dynamic reserve determination method that can be applied to operations in order to facilitate renewable integration. The method is applied to a realistic system model and incorporates a multiple settlement process that includes a day-ahead unit commitment cycle, an hour-ahead cycle, and a real-time 5-minute cycle. By inserting dynamic reserve determination in the hour-ahead cycle, the reserve requirements were dynamically procured to mitigate forecast errors in the renewable generation. The study demonstrates the use of a dynamic reserve procurement step that is practical for deployment in existing business processes and presents an example of new operating policies that can be used to integrate renewable integration at lower cost while maintaining system reliability.
Keywords
load flow; power generation dispatch; power generation scheduling; power system reliability; power system simulation; stochastic processes; day-ahead unit commitment cycle; dynamic reserve determination method; forecast errors; hour-ahead cycle; multi-settlement simulation; real-time 5-minute cycle; realistic system model; renewable integration; reserve procurement; stochastic optimal power flow; system reliability; Load modeling; Power system dynamics; Procurement; Real-time systems; Reliability; Uncertainty; Wind power generation; Power generation dispatch; Power system analysis computing; Power system economics; Wind farms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6345665
Filename
6345665
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