作者: C. Kongnam , S. Nuchprayoon , S. Premrudeepreechacharn , S. Uatrongjit
DOI: 10.1016/J.RSER.2009.01.023
关键词: Interval (mathematics) 、 Engineering 、 Wind power 、 Wind speed 、 Decision analysis 、 Rayleigh distribution 、 Weibull distribution 、 Nonlinear programming 、 Integer programming 、 Mathematical optimization 、 Operations research
摘要: Abstract The investment decision on generation capacity of a wind park is difficult when studies or data are neither available nor sufficient to provide adequate information for developing power project. Although new measurement possible but it definitely time consuming. To determine the optimum capacity, analysis techniques proposed in this paper cope with uncertainties arising from speed distribution and power–speed characteristics. modeled measured data, Rayleigh distribution, Weibull distribution. curve turbine cut-in rated by using linear, parabolic, cubic, quadratic optimization model formulated as mixed-integer nonlinear programming problem. constraints considered interval bounds so that set feasible solutions obtained. solution can be determined profit-to-cost profit-to-area ratios performance metrics investment. Decision rules then applied overcome uncertainty problem refine plan. procedure has been tested project Electricity Generating Authority Thailand.