%0 Journal Article
%T 基于云模型的风力机发电因素重要性评估<br>Importance Evaluation of Wind Turbine Power Generation Factors Based on Cloud Model
%A 张琪琪
%A 王昌友
%J Journal of Sensor Technology and Application
%P 399-408
%@ 2331-0243
%D 2024
%I Hans Publishing
%R 10.12677/jsta.2024.123043
%X 为直观细致评估风力机发电因素的重要性，采用云模型基本算法得到描述评估结果的云图。根据影响风力机发电的因素，确定评估指标因子，构建一种考虑多元指标的重要性评估体系，以此为基础，设置涵盖气象、地理、设备三大领域的问卷调查。采用改进的层次分析法计算各评估指标权重，结合样本数据和云模型算法得到反映重要性评估结果的云图，通过与标准云图相比较，得到风力机发电因素重要性评估结果。以调查风力机发电领域内专家和相关工作者为例，验证评估模型的有效性，结果显示：风力机发电综合因素重要性的云特征参数为Ex = 3.5795，En = 0.5653，He = 0.3083，生成的云图反映整体评估指标较为重要，同时将具有模糊性的评估语言可视化，为建设风力机发电项目提供重要参考。<br />
In order to intuitively and carefully evaluate the importance of wind turbine power generation factors, the cloud maps describing the evaluation results are obtained by using the basic algorithm of cloud model. According to the factors affecting wind turbine power generation, the evaluation index factors are determined, and an evaluation system considering the importance of multiple indicators is constructed, and on this basis, a questionnaire survey covering three major fields of meteorology, geography and equipment is set up. The improved analytic hierarchy process is used to calculate the weight of each evaluation index, and the cloud maps reflecting the importance evaluation result are obtained by combining the sample data and the cloud model algorithm. By comparing with the standard cloud map, the evaluation results of the importance of wind turbine generation factors are obtained. Taking the investigation of experts and related workers in the field of wind turbine power generation as an example, the effectiveness of the evaluation model is verified. The results show that the cloud characteristic parameters of the importance of comprehensive factors of wind turbine power generation are Ex = 3.5795, En = 0.5653, He = 0.3083, and the generated cloud image reflects that the overall evaluation indices is more important. At the same time, the fuzzy evaluation language is visualized to provide an important reference for the construction of wind turbine power generation projects.
%K 风力机发电，云模型，重要性评估，改进层次分析法<br>Wind Turbine Power Generation
%K Cloud Model
%K Importance Assessment
%K Improved Analytic Hierarchy Process
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=87403