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文章摘要
一种光伏电站发电效率多参数综合评估模型及仿真验证
A Multi-Parameter Comprehensive Model for Evaluating Photovoltaic Power Plant Efficiency: Theoretical Analysis and Simulation Verification
Received:December 08, 2020  Revised:December 23, 2020
DOI:10.19753/j.issn1001-1390.2021.12.014
中文关键词: 光伏电站  发电效率  环境条件  综合评估  仿真实验  
英文关键词: photovoltaic power station, power generation efficiency, environmental conditions, comprehensive evaluation, simulation
基金项目:国家自然科学基金资助项目( 59637050)
Author NameAffiliationE-mail
Zheng Weishuo* Zhejiang Huadian equipment testing and Research Institute Co., Ltd 69236246@qq.com 
wufangfang Zhejiang Huadian equipment testing and Research Institute Co., Ltd 13819198545@qq.com 
zhengwenyue Zhejiang Huadian equipment testing and Research Institute Co., Ltd 69236246@qq.com 
chenling Zhejiang Huadian equipment testing and Research Institute Co., Ltd 18458185160@163.com 
linxue Zhejiang Huayun clean energy Co., Ltd 13858099377@163.com 
mayongchao Tsinghua University ma-yc19@mails.tsinghua.edu.cn 
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中文摘要:
      光伏电站的发电效率,会受到多种因素的影响,若能对各种影响因素加以综合考虑,对光伏电站的发电效率提前做出估计,就可能有效避免光伏电站建成后效率低、经济效益差等问题。本文提出了一种计及光照条件、环境温度和相对空气湿度、光伏组件衰减特性等影响因素的光伏电站发电效率综合评估模型,进而以某20MW光伏电站的设计和若干环境参数做输入进行了仿真试验验证。结果表明,该评估模型能较好体现所计及因素对光伏电站发电效率的影响,可用于光伏电站规划设计阶段对其发电效率的预先评估。
英文摘要:
      The efficiency of a photovoltaic power station is affected by many factors. If various influencing factors can be comprehensively considered and the power generation of photovoltaic power stations can be estimated in advance, it is then possible to increase the efficiency and hence the economic benefits of photovoltaic power stations in operation. In this paper, a comprehensive evaluation model is proposed for evaluating the photovoltaic power generation efficiency. Many influence factors, such as light conditions, ambient temperature, relative air humidity, and attenuation characteristics of different photovoltaic modules, are considered in the proposed model. A simulation analysis of design parameters and environmental conditions was carried out on a 20MW photovoltaic power station. The simulation results show that the proposed evaluation model can efficiently reflect the correlation of influence factors and the efficiency of the photovoltaic power station. The evaluation model can be used to predict the efficiency of photovoltaic power stations in the planning and design stages.
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