摘要
风电机组优化选型对于风电场投资收益具有重要影响。利用神经网络模型对风电场总投资进行估算,再通过风电场全寿命周期费用-效益模型对各种机组进行技术经济比较,可实现机组的优化选型。以某风电场机组选型为例,对该优化方法进行了分析论证,其结果表明该方法是可行的,具有理论及工程应用价值。
The optimized type selection of wind power unit influences on the income from investment of wind farm significantly.Using the neural network model to estimate its total investment,and carrying out the economical and technical comparison on various kinds of units by using the wind farm life cycle cost-benefit model,the optimized unit type selection can be realized.Taking the unit type selection of a wind farm as an example,the optimized method was analyzed and demonstrated,the result shows that the method is feasible and has theoretical and practical values.
出处
《华电技术》
CAS
2010年第12期81-83,共3页
HUADIAN TECHNOLOGY
基金
中国华电集团公司科技创新基金项目(CHDKJ2009-01-24)
关键词
风电
机组优化选型
费用效益模型
神经网络模型
投资估算
wind power
optimized type selection of unit
cost-benefit model
neural network model
investment estimation
