首页|基于云模型综合相似度的电力物联网关键技术综合评价

基于云模型综合相似度的电力物联网关键技术综合评价

扫码查看
目前电力物联网关键技术应用的综合评价具有单评价对象的特点,传统评价方法无法适用。为全面评价电力物联网项目建设水平和运营成效,在综合考量电力物联网不同建设和运营阶段及其关键要素基础上,建立电力物联网关键技术综合评价指标体系,根据其单评价对象场景的特点,提出基于云模型综合相似度的评价模型。通过对逼近理想解排序方法的改造构建单评价对象的决策矩阵,提出以兼顾云模型的形状-距离综合相似度为度量,表征逼近理想解排序方法的相对贴近度,进而实现对单评价对象的精准评价。应用所提方法综合评价某电力物联网示范工程,验证了所提综合评价体系和评价方法的客观性与全面性。
Comprehensive Evaluation of Key Technologies in Power Internet of Things Based on Comprehensive Similarity of Cloud Model
Currently,the comprehensive evaluation of the application of key technologies in the power Internet of Things(PIoT)has the characteristics of a single evaluation object,and the traditional evaluation methods are not applicable.In order to comprehensively evaluate the technology maturity and operational effectiveness of PIoT projects,a comprehensive evaluation index for key technologies in PIoT is established to comprehensively consider the different development stages.According to the characteristics of application scenario,an evaluation model based on the comprehensive similarity of cloud model is proposed.By reforming the technique for order preference by similarity to an ideal solution(TOPSIS)method,a decision matrix for a single evaluation object is constructed,and the shape-distance comprehensive similarity of the cloud model is used as a measure to characterize the relative closeness of the TOPSIS method,and the accurate evaluation of a single object is realized.Finally,the proposed method is applied to assess a PIoT demonstration project.The results show that the proposed comprehensive evaluation index and evaluation method can objectively and comprehensively evaluate the comprehensive application effect of each key technology in the construction and operation stages of PIoT.

power Internet of Things(PIoT)index systemcloud modelcloud model similaritytech-nique for order preference by similarity to an ideal solution(TOPSIS)

陈连福、钟海旺、谭振飞、阮广春

展开 >

清华大学电力系统及发电设备控制和仿真国家重点实验室

电力物联网 指标体系 云模型 云模型相似度 逼近理想解排序方法

国家重点研发计划

2020YFB0905900

2024

上海交通大学学报
上海交通大学

上海交通大学学报

CSTPCD北大核心
影响因子:0.555
ISSN:1008-7095
年,卷(期):2024.58(1)
  • 20