DocumentCode
3510150
Title
Probabilistic reliability assessment in the optimization of hybrid power generating units
Author
Kumar, Ajit ; Zaman, Muhammad H. ; Goel, Nishith ; Goel, Nishith ; Church, Ron
Author_Institution
Tecsis Corp., Ottawa, ON, Canada
fYear
2012
fDate
10-12 Oct. 2012
Firstpage
75
Lastpage
79
Abstract
The unit size optimization analysis for a typical IT company is performed considering hybrid wind - solar systems. The stochastic effects in all the parameters in the optimization models are taken into consideration for estimating power reliability. While weibull distributions are representatives of wind speed and solar insolation data, normal distributions are assumed for hourly load variations. Both deterministic optimization analysis and probabilistic risk assessment results are presented. Typically 15 PVC, 19 wind turbines and 27 battery units meet the power demand at a cost of energy around 0.55 $/ kWhr. Power reliability is estimated to increase steeply with power generating units initially, but tends to get saturated thereafter with diminishing slope.
Keywords
Weibull distribution; battery storage plants; hybrid power systems; optimisation; power generation reliability; risk management; solar power stations; stochastic processes; wind power plants; IT company; Weibull distributions; battery units; deterministic optimization analysis; hybrid power generating unit optimization; hybrid wind-solar systems; power demand; power reliability estimation; probabilistic reliability assessment; probabilistic risk assessment; solar insolation data; stochastic effects; wind speed data; wind turbines; Batteries; Hybrid power systems; Optimization; Power demand; Probabilistic logic; Reliability; Wind turbines; Renewable energy; hybrid system; monte carlo simulation (MCS); power reliability; stochastic effects;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Power and Energy Conference (EPEC), 2012 IEEE
Conference_Location
London, ON
Print_ISBN
978-1-4673-2081-8
Electronic_ISBN
978-1-4673-2079-5
Type
conf
DOI
10.1109/EPEC.2012.6474983
Filename
6474983
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