New energy resource grading evaluation method based on clustering algorithm

The invention discloses a new energy resource grading evaluation method based on a clustering algorithm. The new energy resource grading evaluation method specifically comprises the following steps of 1, solving a monthly power generation theoretical hour number of each new energy station; 2, analyzing and correcting the data obtained in the step 1, and constructing an evaluation index of each new energy station; step 3, analyzing each new energy station evaluation index obtained in the step 2 to obtain a substation-level new energy evaluation index; and 4, aggregating the substation-level evaluation indexes obtained in the step 3 to obtain provincial-level new energy evaluation indexes, and outputting the provincial-level new energy evaluation indexes. Theoretical basis and engineering guidance can be provided for new energy installation planning, and high-quality development of new energy can be promoted. 本发明公开了一种基于聚类算法的新能源资源分级评价方法，具体包括如下步骤：步骤1，求解每个新能源场站的每月发电理论小时数；步骤2，对步骤1获取数据进行分析与修正，构建每个新能源场站的评价指标；步骤3，对步骤2