Statistical analysis and engineering fit models for two-diode model parameters of large area silicon solar cells

Khanna, Vandana; Das, B. K.; Vandana, .; Singh, Prashant; Sharma, Prabha; Jain, Sachin

doi:10.1016/j.solener.2016.07.018

Cited by 13 publications

(2 citation statements)

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“…The PV panel current is derived from Equations to . This approach is the so‐called model, which provides an excellent compromise in term of both simplicity and immediacy . The equivalent mathematical description of PV cells is as follows:

I_{ph} ‐ I_{D} ‐ I_{sh} ‐ I = 0,

I_{D} = I_{0} ‐ ({}, exp ([], \frac{q (U + {italicIR}_{S})}{italicAKT}) ‐ 1),

I_{sh} = \frac{U + {IR}_{s}}{R_{italicsh}},

I = I_{ph} ‐ I_{0} ({}, exp ([], \frac{q (U + {italicIR}_{S}}{italicAKT}) ‐ 1) ‐ \frac{U + {IR}_{S}}{R_{italicsh}},

where, I is the solar battery output current and U is the solar battery voltage; I ph is the photo production current, and I o is the reverse saturation current inside the battery equivalent diode p‐n junction; q is the electronic charge, which is 1.6 × 10‐19C; A is the ideal factor of the diode PN junction; K is Boltzmann's constant, which is 1.38 × 10‐23 J/K, and T is the working temperature; R s is the series resistance, and R sh is the parallel resistance.…”

Section: Equivalent Circurt Model Of Solar Cells and Characteristicsmentioning

confidence: 99%

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Research on the voltage prediction of unmanned aerial vehicle photovoltaic modules based on new combination optimization algorithm

Wang

Shen

2019

Int Trans Electr Energ Syst

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Summary Solar energy is a new energy source that is not only renewable but also available everywhere in the world. Thus, this new energy source is used on solar unmanned aerial vehicles. The use of solar photovoltaic systems (PVS) involves the conversion of solar energy into electricity. A photovoltaic cell is the core part of solar unmanned aerial vehicle (UAV) for providing energy. The solar panels are laid on the wings of solar unmanned aerial vehicles. This paper proposes a new MPPT controller for predicting the voltage to obtain the maximum power from the solar panel. In this paper, on the basis of studying the characteristics of photovoltaic cells, combined with the advantages of the mind evolutionary algorithm (MEA) and back propagation network, this article proposes a new type of BP network modeling structure based on the MEA, which is used for the modeling of photovoltaic cells. First, the MEA is constructed based on topology of a back propagation network. Then, this algorithm is used to obtain the optimal solutions, which are regarded as the initial weights and threshold values of the BP neural network. Finally, the simulation experiment is performed MATLAB software; comparing the different prediction results of the MEA optimization BP Network and genetic algorithm (GA) optimization BP neural network with the simple use of the BP neural network. The simulation results indicate that the optimization of the BP neural network by the MEA decreased the mean absolute percent error (MAPE) and root mean square error (RMSE) evaluation indicators by approximately 64% and 0.0524, respectively, compared with the back propagation neural network (BPNN). Overall, the MEA optimization BP neural network has high precision, small error, and a short training time.

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I_{ph} ‐ I_{D} ‐ I_{sh} ‐ I = 0,

I_{D} = I_{0} ‐ ({}, exp ([], \frac{q (U + {italicIR}_{S})}{italicAKT}) ‐ 1),

I_{sh} = \frac{U + {IR}_{s}}{R_{italicsh}},

I = I_{ph} ‐ I_{0} ({}, exp ([], \frac{q (U + {italicIR}_{S}}{italicAKT}) ‐ 1) ‐ \frac{U + {IR}_{S}}{R_{italicsh}},

Section: Equivalent Circurt Model Of Solar Cells and Characteristicsmentioning

confidence: 99%

“…This approach is the so-called model, which provides an excellent compromise in term of both simplicity and immediacy. 35,36 The equivalent mathematical description of PV cells is as follows:…”

Section: The Mathematical Model Of Pv Cellsmentioning

confidence: 99%