Title :
Wind power simulation model for reliability evaluation
Author :
Karki, Rajesh ; Hu, Po
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask.
Abstract :
The rapidly increasing contribution of wind power to electric power generation around the world has motivated a need to develop more widely applicable methodologies for evaluating the actual benefits of adding wind turbines to traditional power generating systems. Reliability and cost evaluation of wind generation systems requires simulation of long-term chronological wind speed data for specified geographical wind farm sites. The main steps to construct the wind speed simulation model are presented in this paper. It is important that the developed models maintain the main statistical characteristics of the wind farm locations. Wind speed data from two wind sites are used to illustrate the model. The results of wind data simulation, power output profile, and power system risk evaluation are presented and compared using different types of wind models at different wind farm sites. The objective is to derive a general and appropriate model for reliability evaluation of power systems containing wind sources
Keywords :
power generation reliability; statistical analysis; wind turbines; cost evaluation; geographical wind farm sites; long-term chronological wind speed data; power generating systems; power system reliability evaluation; power system risk evaluation; statistical characteristics; wind power simulation model; wind speed simulation model; wind turbines; Costs; Power generation; Power system modeling; Power system reliability; Power system simulation; Wind energy; Wind energy generation; Wind farms; Wind speed; Wind turbines;
Conference_Titel :
Electrical and Computer Engineering, 2005. Canadian Conference on
Conference_Location :
Saskatoon, Sask.
Print_ISBN :
0-7803-8885-2
DOI :
10.1109/CCECE.2005.1556988