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Bai J.,Hohai University | Cao Y.,Hohai University | Hao Y.,Hohai University | Zhang Z.,State Key Laboratory of Photovoltaic Science and Technology | Jiang M.,State Key Laboratory of Photovoltaic Science and Technology
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | Year: 2014

The mathematical model for solar PV grid-connected power system was presented, which included solar radiation, solar PV modules, inverters and electrical losses etc. By using programming software tools, the simulation and decision-making software for solar PV grid-connected power system was developed. Based on the world typical weather data and precise component models in the PV system, the software could simulate the solar radiation on the surface of PV modules, generation power, total losses and generation efficiency etc. It could forecast the future generation situation of PV system. The software also included functions as follows: component selection and customization, simulation of multiple operation modes, investment and analysis, environment evaluation and optimizing design. ©, 2014, Taiyangneng Xuebao/Acta Energiae Solaris Sinica. All right reserved.

Bai J.,Hohai University | Hao Y.,Hohai University | Zhang Z.,Hohai University | Zhang Z.,State Key Laboratory of Photovoltaic Science and Technology | And 2 more authors.
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | Year: 2014

A new complex method for simulating multiple types of silicon photovoltaic(PV)modules was put forward. The silicon PV modules parameters under the Standard Test Conditions could be provided by PV module manufacturers. By using simplified four-parameter PV model, an I-V curve can be achieved, and by using piecewise fitting method depend on the I-V curve the model to get the value of dV/dI at V=0 and dV/dI at I=0 can be achieved. Furthermore, by using five-parameter PV model, the resolutions of serial resistance Rs, shunt resistance Rsh, photocurrent Iph, and reverse saturation current Io and diode ideality factor n could be computed. The method solved the problem that the value of dV/dI at V=0 and dV/dI at I=0 in five-parameter model can't be provided by manufacturer directly, and provides a convenient and feasible method to obtain the PV modules performance curve accurately. Comparison between the computational data and the experimental data results demonstrated that the method had high accuracy. The method provides an important way to analyze the performance output of PV modules under various complex situations.

Bai J.,Hohai University | Bai J.,Nanjing Southeast University | Liu S.,Hohai University | Hao Y.,Hohai University | And 3 more authors.
Energy Conversion and Management | Year: 2014

The five-parameter photovoltaic (PV) mathematical model has been considered a reliable and accurate method for simulating the performance of PV modules. This paper puts forth a new compound method to extract the five parameters of the model with the basic manufacture template data. As the two differential values at the short and open circuit points of the I-V curve at standard testing conditions (STC) are fundamental data to obtain the five parameters and not normally available from the template data, we use a piecewise I-V curve-fitting method combined with the four-parameter PV model to calculate them with which an explicit extraction method is then presented to extract the five parameters at STC conditions by using five individual algebraic equations. Furthermore, the five parameters are revised according to certain operating conditions. In order to evaluate the effectiveness of the proposed method, the simulated I-V characteristic curves for three types of PV modules over a range of operating conditions are compared with the measured data. The experimental results demonstrate that the method has high accuracy. This method is also used to predict the generation power of an actual PV power station; the simulation results show good agreement with the field data. This proposed method is easy to carry out and especially useful for simulating the actual performances of PV modules or arrays at various operating conditions and predicting the output power of real PV power stations. © 2014 Published by Elsevier Ltd.

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