Enhancing PV system modeling accuracy with the irradiance intensity selection technique

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dc.contributor.authorSongtrai, Sasiwimon
dc.contributor.authorChinnavornrungsee, Perawut
dc.contributor.authorSriprapha, Kobsak
dc.contributor.authorKobayashi, Tomonao
dc.contributor.authorNiemcharoen, Surasak
dc.contributor.authorMuanghlua, Rangson
dc.date.accessioned2026-08-06T10:55:37Z
dc.date.available2026-08-06T10:55:37Z
dc.date.issued2026-06-01
dc.description.abstractThis study is a method to improve the accuracy of photovoltaic (PV) power modeling by the irradiance intensity segmentation. The developed model was compared with 2 years of data from PV system in Thailand and the original 1D5P and weight function models to determine accuracy. The results show that by applying the irradiance intensity selection technique with a 1D5P equivalent circuit model improved the accuracy of the proposed model. The proposed method achieved a significantly lower %root mean square error (%RMSE) compared with other models yielding %RMSE values of 0.26% under clear-sky and 2.80% under cloudy conditions. Seasonal evaluation further demonstrated improved prediction accuracy, with the lowest deviation observed during the rainy period, attributed to reduced dust accumulation. A 2 years comparison confirmed the proposed model exhibited the lowest deviation of 0.69%, outperforming conventional PV simulation programs. These findings indicate that irradiance segmentation enhances forecasting performance and provides accurate PV output estimation under real environmental conditions.
dc.identifier.citationJapanese Journal of Applied Physics Part 1 Regular Papers and Short Notes and Review Papers, 65(11), 2026
dc.identifier.doi10.35848/1347-4065/ae7269
dc.identifier.issn00214922
dc.identifier.other2-s2.0-105041614528
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/18127
dc.sourceJapanese Journal of Applied Physics Part 1 Regular Papers and Short Notes and Review Papers
dc.subjectphotovoltaic
dc.subjectPV model
dc.subjectsolar irradiance
dc.titleEnhancing PV system modeling accuracy with the irradiance intensity selection technique
dc.typeReview

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