基于云模型和模糊综合的光伏系统健康状态评估  

Health Assessment of Photovoltaic System Based on Cloud Model and Fuzzy Synthesis

作　　者：蔺思玮 徐志科[1] LIN Siwei;XU Zhike(School of Electrical Engineering,Southeast University,Nanjing 210000)

机构地区：[1]东南大学电气工程学院,南京210000

出　　处：《舰船电子工程》2025年第2期165-171,共7页Ship Electronic Engineering

基　　金：国家自然科学基金项目(编号:51777029)资助。

摘　　要：针对光伏系统健康状态综合评估问题,基于光伏系统的运行数据提出了一种基于云模型和模糊综合评估的光伏系统健康状态评估方法。首先,以光伏运行数据为基础建立全面的评估指标体系,然后基于健康管理理论确定光伏系统运行状态评语集,同时结合主客观赋权和变权理论对各评估因素进行综合赋权,结合云模型确立模糊隶属度,最后采用模糊评估方法评估系统运行状态。案例分析表明,所提模型和方法能准确地识别和响应于光伏系统的异常运行状态,提高了对光伏系统健康状态的监测能力。In order to solve the problem of comprehensive evaluation of the health state of photovoltaic system,this paper proposes a method of health assessment of photovoltaic system based on cloud model and fuzzy comprehensive evaluation based on the operation data of photovoltaic system.Firstly,a comprehensive evaluation index system is established based on the photovoltaic operation data,and then the evaluation set of the operating status of the photovoltaic system is determined based on the health management theory,and the evaluation factors are comprehensively weighted by combining the subjective and objective weighting and variable weighting theory,and the fuzzy membership degree is established by combining the cloud model,and finally the fuzzy evaluation method is used to evaluate the operation status of the system.The case analysis shows that the proposed model and method can accurately identify and respond to the abnormal operation state of the photovoltaic system,and improve the monitoring ability of the health status of the photovoltaic system.

关 键 词：光伏系统 云模型 模糊综合评估 健康状态 运行数据 

分 类 号：O141.4[理学—数学]