基于云模型的水光互补清洁能源基地容量配置方案优选

Capacity allocation scheme optimization based on cloud model for a hydro-photovoltaic complementary clean energy base

为优选水光互补清洁能源基地容量配置方案,从安全性、环保性、经济性、技术性4个方面选取14个指标构建了综合评价指标体系,采用改进云模型方法对容量配置方案进行评价。改进云模型方法以基于层次分析法改进的云模型求解主观权重,以熵权法求解客观权重,组合赋权得到指标权重,再利用条件云发生器计算各指标的隶属度,最后根据级别特征值法计算容量方案等级评分,确定最优方案。将该方法应用于我国西南某清洁能源基地水光互补系统容量配置方案的优选,优选结果与集对分析法优选结果和实际选择方案均相符,证明了该方法的有效性与适用性。

In order to optimize the capacity configuration scheme for a hydro-photovoltaic complementary clean energy base,a comprehensive evaluation index system was constructed by selecting 14 indicators from the 4 aspects of safety,environmental protection,economy,and technology.An improved cloud model method was used to evaluate the capacity configuration scheme.The improved cloud model based on analytic hierarchy process was used to solve the subjective weights,the entropy weight method was used to solve the objective weights,the combined weighting was used to obtain the indicator weights,and then a conditional cloud generator was used to calculate the membership degree of each indicator.Finally,based on the level eigenvalue method,the capacity scheme rating was calculated to determine the optimal scheme.The method was applied to the optimization of the capacity configuration scheme for a hydro-photovoltaic complementary clean energy base in Southwestern China.The optimization results are consistent with the set pair analysis method and the actual selection scheme,proving the effectiveness and applicability of the method.