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
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;
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
DOI :
10.1109/EPEC.2012.6474983
