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Modeling method for photovoltaic arrays based on implicit double-diode model and reverse bias model
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Haifei Wu1, Kun Ding2, Ying Su1, Xiang Chen2, Yaoxi He3, Fangxu Ji3, Quanru Chen2
Renewable Energy Resources | 2025, 43(12) : 1588 - 1597
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Renewable Energy Resources | 2025, 43(12): 1588-1597
Modeling method for photovoltaic arrays based on implicit double-diode model and reverse bias model
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Haifei Wu1, Kun Ding2, Ying Su1, Xiang Chen2, Yaoxi He3, Fangxu Ji3, Quanru Chen2
Affiliations
  • 1.Three Gorges Group Science and Technology Research Institute, Beijing 101100, China
  • 2.College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China
  • 3.China Yangtze Power Renewables Co., Ltd., Wuhan 430000, China
Published: 2025-12-20
Outline
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To address the limitations of traditional photovoltaic (PV) array modeling methods in terms of computational accuracy and portability, this study proposes a novel PV array modeling approach based on the Implicit Double Diode Model (IDDM) and the Reverse Bias Model (RBM). The proposed method first configures environmental parameters according to the actual operating conditions of the PV array. Subsequently, it calculates the current and voltage characteristics of PV cells under various operating states based on the theoretical frameworks of IDDM and RBM. Following this, the method determines the current and voltage characteristics of PV array substrings and finally outputs the current-voltage (I-V) characteristics of the PV array. Experimental results demonstrate that the proposed method achieves high simulation accuracy, with a theoretical-to-actual current sequence error of only 0.015 A. Additionally, the model effectively simulates the I-V characteristics of PV arrays under scenarios such as partial shading, short circuits, and degradation of equivalent series and parallel resistances. This modeling approach provides a robust theoretical foundation and data support for PV power plant fault diagnosis and analysis.

photovoltaic array  /  modeling approach  /  double diode model  /  reverse bias model
吴海飞, 丁坤, 苏营, 陈翔, 何尧玺, 纪方旭, 陈泉如. 基于隐式双二极管模型和反偏模型的光伏阵列建模方法. 可再生能源, 2025 , 43 (12) : 1588 -1597 .
Haifei Wu, Kun Ding, Ying Su, Xiang Chen, Yaoxi He, Fangxu Ji, Quanru Chen. Modeling method for photovoltaic arrays based on implicit double-diode model and reverse bias model[J]. Renewable Energy Resources, 2025 , 43 (12) : 1588 -1597 .
Year 2025 volume 43 Issue 12
146
36
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  • Receive Date:2024-11-04
  • Online Date:2026-09-23
  • Published:2025-12-20
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  • Received:2024-11-04
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Affiliations
    1.Three Gorges Group Science and Technology Research Institute, Beijing 101100, China
    2.College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China
    3.China Yangtze Power Renewables Co., Ltd., Wuhan 430000, China
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表12种不同金属材料的力学参数
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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