Modeling of Distributed Photovoltaic Power Generation Considering Uncertainty Factors

被引：0
作者：
Huang, Yuezu [1 ]
Ge, Yuan [1 ]
Lin, Qiyou [2 ]
Wang, Yang [3 ]
Chen, Renfeng [4 ]
Li, Yali [1 ,5 ]
机构：
[1] Anhui Polytech Univ, Sch Elect Engn, Wuhu, Peoples R China
[2] Wuhu Fanchang Dist Power Supply Co, State Grid Anhui Elect Power Co, Wuhu, Peoples R China
[3] State Grid Anhui Elect Power Co, Wuhu Power Supply Co, Wuhu, Peoples R China
[4] Anhui Bern Technol Co Ltd, Writhit, Peoples R China
[5] Anhui Polytech Univ, Sch Elect Engn, Wuhu, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
photovoltaic power generation; uncertainty; model and data driven; PV MODULES; PERFORMANCE; DUST; SYSTEMS;
D O I：
10.1109/CCDC58219.2023.10326921
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A modeling approach combining mathematical model and data driven of photovoltaic (PV) power generation is proposed to address the problem of the impact of uncertainties on distributed PV power generation. In order to accurately simulate the output characteristics of distributed PV under different conditions, the two-diode model is modeled by SIMULINK based on the established mathematical model of a two-diode solar cell. Starting from the basic information of each PV cell in the PV module, the series-parallel theory of the circuit is applied to establish the electrical model of the PV module. The uncertainty factor of dust accumulation on the surface of photovoltaic panels is used as an example to start the relevant experiments, and the experimental data are compared and analyzed. The uncertainty of distributed PV power generation is inscribed by the solar radiation transmittance loss value of the shade, and the PV power generation modeling method under the uncertainty is given. The experimental results show that the method can more accurately solve the PV generation problem under uncertainties.
引用
收藏
页码：313 / 318
页数：6
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