基于改进层次分析法的风光储能电站数据评价模型

Data evaluation model of wind⁃solar energy storage power station based on improved analytic hierarchy process

针对传统数据评价模型在评价风光储能电站数据时,最大与次大综合评价指标值过于接近,导致其评价准确率较低等问题。提出基于改进层次分析法的风光储能电站数据评价模型。通过预处理风光储能电站数据,获取单指标相对隶属度,根据相对隶属度建立风光储能电站数据评价矩阵,在确定不同评价指标权重后,构建模糊矩阵各要素的综合评价模型,完成了风光储能电站数据评价模型的构建。实验结果表明,采用所提模型进行电站数据评价结果误差较低,评价风光储能电站数据的效果较好,具有一定实际意义价值。

When the traditional data evaluation model is used to evaluate the data of wind and solar energy storage power station,the maximum value is too close to the secondary comprehensive evaluation index value,which leads to the low evaluation accuracy.An improved AHP based data evaluation model for wind and solar energy storage station is proposed.Through preprocessing the data of wind and solar energy storage power station,the relative membership degree of single index is obtained,and the data evaluation matrix of wind and solar energy storage power station is established according to the relative membership degree.After determining the weight of different evaluation indexes,the comprehensive evaluation model of each element of fuzzy matrix is constructed,and the data evaluation model of wind and solar energy storage power station is completed.The experimental results show that the error of the proposed model is low,and the effect of the model is good,which has a certain practical value.