DocumentCode :
672534
Title :
Long-term system operational impacts of wind generation penetration in Ontario power system
Author :
El-Mazariky, Amr ; Bhattacharya, Kankar ; Nathwani, Jatin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2013
fDate :
28-30 Aug. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Expansion of wind generation capacity requires a close examination of the location and quality of wind resources and a detailed understanding of its operational impact on the transmission grid. In this paper, a transmission network model is developed for Ontario, with their planned enhancements for three specific years under study-2010, 2015 and 2025. The zonal supply mix of generation resources included are, nuclear, wind, hydro, gas- and coal-fired generation. An optimal power flow (OPF) model is developed considering future demand and generation scenarios, and used in a deterministic case study. Subsequently, Monte Carlo simulations are carried out considering the variability and uncertainty of wind generation. Both case studies examine the effect of different wind generation penetration levels on the Ontario electrical grid and analyze long-term wind generation impacts. The impact on operating reserves for different levels of wind penetration is also examined.
Keywords :
Monte Carlo methods; load flow; power grids; transmission networks; wind power plants; Monte Carlo simulations; OPF model; Ontario electrical grid; Ontario power system; coal-fired generation; gas-fired generation; generation resources; hydropower generation; long-term system operational impacts; long-term wind generation impact analysis; nuclear power generation; optimal power flow model; transmission grid; transmission network model; wind generation capacity expansion; wind generation penetration; wind resources; Electricity; Generators; Joining processes; Load flow; Monte Carlo methods; Reactive power; Wind power generation; CO2 emissions; Monte Carlo Simulations; Ontario system; Wind generation; impact studies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Energy Grid Engineering (SEGE), 2013 IEEE International Conference on
Conference_Location :
Oshawa, ON
Print_ISBN :
978-1-4799-2774-6
Type :
conf
DOI :
10.1109/SEGE.2013.6707918
Filename :
6707918
Link To Document :
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