基于TOPSIS法的风速概率分布评价方法

EVALUATION METHOD FOR WIND SPEED PROBABILITY DISTRIBUTION BASED ON TOPSIS METHOD

将风速概率分布评价视为多属性决策问题,基于逼近理想解排序法(TOPSIS)评价各类候选概率分布拟合风速概率分布的优度。首先,将候选概率分布和拟合优度指标分别类比为方案和属性;其次,根据相对贴近度量化候选概率分布与正理想解的差距,进而在计及指标冲突的情况下评价风速概率分布;最后,收集美国某两处观测站实测风速数据验证所述方法的适用性和准确性,结果表明:该方法能有效整合多种拟合优度指标,进而在不同风况下为特定观测站评价风速概率分布。

This paper considers the evaluation of WSPD as a multi-attribute decision making problem,the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method is employed to assess the performance of all candidate probability distributions for fitting WSPD.Firstly,each candidate probability distribution and its fitting performance metrics are deemed as each scheme and its attributes,respectively.Secondly,the magnitude of difference between candidate probability distribution and positive ideal solution is quantified by the relative closeness,which enables the evaluation of WSPD considering the conflicts of multiple fitting performance metrics;Finally,the measured wind speed data from two observatories at U.S.are collected to verify the suitability and accuracy of the mentioned method.The results show that the mentioned method can integrate multiple fitting performance metrics and evaluate WSPD for specific observatory under different wind regimes.