{"title":"PV Plant Equipment Labels and Layouts Can Be Validated by Analyzing Cloud Motion in Existing Plant Measurements","authors":"Joseph Ranalli;William B. Hobbs","doi":"10.1109/JPHOTOV.2024.3366666","DOIUrl":null,"url":null,"abstract":"Large-scale photovoltaic plants collect monitoring and operational data at various spatial scales within the plant (e.g., strings, combiners, and inverters). Manual validation of the spatial position of these plant segments relative to the plant design requires on-site observations that may be prohibitively costly or labor intensive. This article presents a methodology for validating plant segment position based on operational data from the plant. By observing the delay between segment responses to cloud motion, predictions of their relative positions within the plant can be made. The method was demonstrated on combiner-level data from a 20-MW, operational photovoltaic plant in the United States. Several instances of apparently mislabeled combiners were identified from the analysis. A partial validation of 20 combiners was conducted by inspecting the plant, with results showing complete agreement between observation and predictions. Predictions derived from this methodology can serve as the basis for further plant inspection and corrective maintenance.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"14 3","pages":"538-548"},"PeriodicalIF":2.5000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10453268","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Photovoltaics","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10453268/","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
Large-scale photovoltaic plants collect monitoring and operational data at various spatial scales within the plant (e.g., strings, combiners, and inverters). Manual validation of the spatial position of these plant segments relative to the plant design requires on-site observations that may be prohibitively costly or labor intensive. This article presents a methodology for validating plant segment position based on operational data from the plant. By observing the delay between segment responses to cloud motion, predictions of their relative positions within the plant can be made. The method was demonstrated on combiner-level data from a 20-MW, operational photovoltaic plant in the United States. Several instances of apparently mislabeled combiners were identified from the analysis. A partial validation of 20 combiners was conducted by inspecting the plant, with results showing complete agreement between observation and predictions. Predictions derived from this methodology can serve as the basis for further plant inspection and corrective maintenance.
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.
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