{"title":"A Novel Method for Performance Estimation of PV Modules Using Equivalent Irradiance and Temperature","authors":"Jinlong Zhang;Zhenguang Liang;Yunpeng Zhang;Hai Zhou;Ji Wu;Honglu Zhu","doi":"10.1109/JPHOTOV.2024.3521090","DOIUrl":null,"url":null,"abstract":"The yield of photovoltaic (PV) modules is influenced by various environmental factors, particularly solar irradiance and temperature. However, the measured solar irradiance does not accurately represent the real light intensity absorbed by different types of solar cells, and the measured temperature does not represent the actual cell temperature in PV modules. In this article, equivalent irradiance and temperature are proposed and used to improve the accuracy of output performance estimation of PV modules. First, equivalent irradiance and temperature under different operating condition are obtained by fitting measured <italic>I–V</i> data by using the guaranteed convergence particle swarm optimization. Second, the relationship between the equivalent irradiance and temperature and environmental factors is established by an artificial neural network (ANN) model. Two types of ANNs with different input vector are proposed to calculated equivalent irradiance and temperature. The accuracy of the proposed method was validated by experimental data for four different types of PV modules under wide operating conditions.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 2","pages":"274-279"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Photovoltaics","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10835749/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The yield of photovoltaic (PV) modules is influenced by various environmental factors, particularly solar irradiance and temperature. However, the measured solar irradiance does not accurately represent the real light intensity absorbed by different types of solar cells, and the measured temperature does not represent the actual cell temperature in PV modules. In this article, equivalent irradiance and temperature are proposed and used to improve the accuracy of output performance estimation of PV modules. First, equivalent irradiance and temperature under different operating condition are obtained by fitting measured I–V data by using the guaranteed convergence particle swarm optimization. Second, the relationship between the equivalent irradiance and temperature and environmental factors is established by an artificial neural network (ANN) model. Two types of ANNs with different input vector are proposed to calculated equivalent irradiance and temperature. The accuracy of the proposed method was validated by experimental data for four different types of PV modules under wide operating conditions.
期刊介绍:
The IEEE Journal of Photovoltaics is a peer-reviewed, archival publication reporting original and significant research results that advance the field of photovoltaics (PV). The PV field is diverse in its science base ranging from semiconductor and PV device physics to optics and the materials sciences. The journal publishes articles that connect this science base to PV science and technology. The intent is to publish original research results that are of primary interest to the photovoltaic specialist. The scope of the IEEE J. Photovoltaics incorporates: fundamentals and new concepts of PV conversion, including those based on nanostructured materials, low-dimensional physics, multiple charge generation, up/down converters, thermophotovoltaics, hot-carrier effects, plasmonics, metamorphic materials, luminescent concentrators, and rectennas; Si-based PV, including new cell designs, crystalline and non-crystalline Si, passivation, characterization and Si crystal growth; polycrystalline, amorphous and crystalline thin-film solar cell materials, including PV structures and solar cells based on II-VI, chalcopyrite, Si and other thin film absorbers; III-V PV materials, heterostructures, multijunction devices and concentrator PV; optics for light trapping, reflection control and concentration; organic PV including polymer, hybrid and dye sensitized solar cells; space PV including cell materials and PV devices, defects and reliability, environmental effects and protective materials; PV modeling and characterization methods; and other aspects of PV, including modules, power conditioning, inverters, balance-of-systems components, monitoring, analyses and simulations, and supporting PV module standards and measurements. Tutorial and review papers on these subjects are also published and occasionally special issues are published to treat particular areas in more depth and breadth.