Title :
Evaluation of the environmental impact of wind generation penetration
Author :
Ahmed, M.H. ; Bhattacharya, K. ; Salama, M.M.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
This paper presents a methodology to evaluate the environmental impact of wind generation penetration into electrical power system. A set of historical wind speed data is used to obtain different wind speed clusters which are used by Monte-Carlo Simulations to generate different daily wind speed profiles-scenarios. The Forward Selection algorithm is used to obtain a reduced set of scenarios. These reduced scenarios are then incorporated into a unit commitment model that analyzes the impact of wind generation penetration on the operation of conventional plants and on the resulting total system emissions. The solution of the unit commitment model is studied for different cost functions including the minimization of the total system emission. The relationship between changing the emission caps and the penetration level of wind energy is also investigated.
Keywords :
Monte Carlo methods; air pollution control; power generation dispatch; power generation scheduling; wind power plants; Monte-Carlo simulations; cost functions; electrical power system; environmental impact; forward selection algorithm; historical wind speed data; total system emission minimization; unit commitment model; wind generation penetration; wind speed clusters; wind speed profiles; Fuels; Generators; Indexes; Wind power generation; Wind speed; Wind turbines; Emission; energy policy; power system economics; wind power generation;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344806