Title :
Risk based equivalent wind capacity in power generating systems
Author :
Karki, Rajesh ; Billinton, Roy ; Bai, Guang
Author_Institution :
Dept. of Electr. Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
Abstract :
Wind power is considered to be a promising and encouraging alternative for power generation because of its tremendous environmental and social benefits, together with public support and government incentives. The wind, however, is variable, site specific and an intermittent source of energy. The rated capacity of a wind turbine can be misleading if it is interpreted in the same way as that of a conventional generating unit. The actual wind turbine capacity is limited by the random variation of the wind speed and the turbine characteristics. As a result, it is difficult to assign a capacity credit to a wind turbine generator and most analyses simply look at the energy produced. This paper presents a technique used to determine the capacity contribution from a wind turbine generator using a risk based analysis of the overall system adequacy.
Keywords :
Monte Carlo methods; power generation reliability; risk analysis; turbogenerators; wind power plants; wind turbines; Monte Carlo simulation; adequacy evaluation; environmental benefit; government incentive; power generating system; power system reliability; risk based analysis; wind power; wind turbine generator; Government; Power generation; Power system modeling; Reliability; Renewable energy resources; Wind energy; Wind energy generation; Wind power generation; Wind speed; Wind turbines;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9