摘要
充换电站的优化选址是一个多属性决策问题,对于电动汽车的发展至关重要。将传统的交互式多准则决策方法扩展至不确定语言环境,提出了一种新的充换电站优化选址模型,在分析各指标相互影响关系的基础上,利用网络层次分析法得到各指标权重,并采用云模型与交互式多准则决策相结合的方法,对不确定语言信息进行转化并排序。最后,通过算例验证了该模型的实用性和有效性,为充换电站的优化选址提供了更加可靠的依据。
The site selection of charging stations,which is hugely important for the development of electric vehicles,is a multicriteria decision making problem.The extended interactive and multi-criteria decision making method in an uncertain linguistic environment is proposed for the charging station site selection.The analytical network process（ANP）method is adopted to measure the correlation of the indicators,and interactive and the multi-criteria decision making method combined with the cloud model is employed for transforming the linguistic information and the ranking value of each alternative is obtained.Finally,the proposed model and calculation method are verified using a case study.All endeavors are helpful to achieving the target as shown by the maneuverability and rationality of charging station site selection.
出处
《电力系统自动化》
EI
CSCD
北大核心
2017年第2期114-120,共7页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(71271085)
中央高校基本科研业务费专项资金资助项目(2015XS27)~~
关键词
充换电站
选址
网络层次分析(ANP)
云模型
交互式多准则决策
charging station
site selection
analytical network process（ANP）
cloud model
interactive and multi-criteria decision making
