DocumentCode
647960
Title
Voltage control optimization to improve transmission efficiency under near real-time conditions
Author
Shih-Min Hsu ; Taylor, Lee Y. ; Rylander, Matthew ; Del Rosso, Alberto
Author_Institution
Transm. Planning, Southern Co. Services - Transm., Birmingham, AL, USA
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
This paper presents a case study on improving transmission system efficiency under near real-time conditions using voltage control optimization. In general, generator voltage schedules are developed using off-line planning models with expected system conditions, e.g., expected loads and generation. Optimal voltage schedules can be determined with Optimal Power Flow (OPF) programs to achieve certain pre-determined objectives, such as reducing active and/or reactive power losses. In addition, these optimal voltage schedules can result in a higher reactive power reserve and a more reliable power system. This case study uses Energy Management System models as proxies of near real-time operational conditions and an OPF to improve transmission efficiency while controlling the generator voltage schedule and switching on/off shunt reactive devices.
Keywords
energy management systems; load flow; power transmission control; power transmission planning; reactive power; scheduling; voltage control; OPF; active power losses reduction; energy management system models; generator voltage schedules; near real-time operational conditions; off-line planning models; optimal power flow programs; optimal voltage schedules; reactive power losses reduction; reactive power reserve; reliable power system; switching on-off shunt reactive devices; transmission system efficiency; voltage control optimization; Generators; Load flow; Optimization; Reactive power; Schedules; Shunts (electrical); Voltage control; Generator Voltage Schedule Optimization; Loss Reduction; Power System Efficiency; Real-Time Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672513
Filename
6672513
Link To Document