Title :
Optimal choice of wind turbine generator based on Monte-Carlo method
Author :
Yichun, Wu ; Ming, Ding
Author_Institution :
Anhui Vocational & Tech. Coll. of Electr. Eng., Hefei
Abstract :
Wind power generation of wind farm has relation to wind energy resources, wind generation unit parameter and its crew, etc. The goal of optimizing the design for wind turbine generator in wind farm should be to utilize wind energy as efficiently as possible and to reduce production cost of wind power generation. Therefore, the paper investigates optimal choice of wind generation unit type matching wind farm site, which takes wind power generation capacity factor and generation cost as optimization target. Probabilistic method used to evaluate the economic indices of wind turbine generators, such as wind power generation and capacity factor, is more reasonable due to wind energy randomness and component failure uncertainty. Results obtained from several case studies are presented and discussed.
Keywords :
Monte Carlo methods; optimisation; power generation economics; probability; turbogenerators; wind power plants; Monte-Carlo method; capacity factor; generation cost; probabilistic method; wind energy resources; wind farm; wind generation unit parameter; wind turbine generator; Cost function; Design optimization; Power generation; Power generation economics; Production; Wind energy; Wind energy generation; Wind farms; Wind power generation; Wind turbines; Monte-Carlo method; capacity factor; optimal choice of wind generation unit type; wind power generation;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523829