南方电网技术2026，Vol.20Issue(8)：3-17,15.DOI:10.13648/j.cnki.issn1674-0629.2026.08.001
基于改进AHP法组合赋权的变权可拓云的乡村能源系统效益评估
Benefit Evaluation of Rural Energy Systems Based on Variable-Weight Extension Cloud with Combined Weighting via Improved AHP
摘要
Abstract
Driven by the strategic goals of"dual carbon"and"rural revitalization",and in response to issue such as low rural energy ef-ficiency and a low proportion of clean energy in rural areas,the green transition of rural energy has become an urgent priority.As an effective approach to improve energy utilization efficiency and reduce carbon emissions,the rural integrated energy system has emerged as a current research focus.However,researches on the benefit evaluation of this system remains insufficient.To address this gap,a rural integrated energy evaluation method is proposed based on a variable-weight extension cloud model with combined weighting.Firstly,an evaluation index system covering four dimensions is constructed:rural economy,technology,ecology,and society.Secondly,the improved analytic hierarchy process(AHP)is adopted for subjective weighting to reduce computational complexity,while the anti-entropy method is used for objective weighting.Subsequently,the optimal combined weights are obtained by minimizing the deviation between subjective and objective weights.Finally,the improved extension cloud model is applied to evaluate the index data of the rural integrated energy system,and the adaptive variable weighting of index data is implemented to bet-ter highlight the system's shortcomings and advantageous indicators.Taking the data of the demonstration project in Gula Town,Guangxi as an example,the evaluation is conducted.The results show that the method proposed is effective and scientific.关键词
乡村综合能源/变权可拓云模型/综合能源系统评估方法/改进AHP法Key words
rural integrated energy/variable-weight extension cloud model/evaluation method for integrated energy systems/improved analytic hierarchy process(AHP)分类
信息技术与安全科学引用本文复制引用
裴越,张靖,唐孜童,廖卓颖,刘雨兵,刘通,舒杰..基于改进AHP法组合赋权的变权可拓云的乡村能源系统效益评估[J].南方电网技术,2026,20(8):3-17,15.基金项目
智能电网国家科技重大专项资助项目(2024ZD0800600).Supported by the National Science and Technology Major Project for Smart Grid(2024ZD0800600). （2024ZD0800600）
