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基于云模型的水光互补清洁能源基地容量配置方案优选OACSTPCD

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

中文摘要英文摘要

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.

黄显峰;周引航;张启凡;李大成;李旭;吴迪

河海大学水利水电学院,江苏南京 210098武汉大学水利水电学院,湖北武汉 430072中国电建集团贵阳勘测设计研究院有限公司,贵州贵阳 550081华能澜沧江水电股份有限公司,云南昆明 650214

水利科学

水光互补系统容量配置方案改进云模型组合赋权集对分析

hydro-photovoltaic complementary systemcapacity allocation schemeimproved cloud modelcombination weightingset pair analysis

《水利水电科技进展》 2024 (001)

44-51 / 8

中国华能集团有限公司总部科技项目(HNKJ20-H20)

10.3880/j.issn.1006-7647.2024.01.007

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