Single-Diode Pv Cell Modeling And Study Of Characteristics Of Single And Two-Diode Equivalent Circuit

Tamrakar, Vivek; S.C, Gupta; Sawle, Yashwant

doi:10.14810/elelij.2015.4302

Cited by 34 publications

(33 citation statements)

References 2 publications

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“…(4) and Eq. (8) lead produces the relation between temperature with V OC (10) The current density of J SC is a variable that depends on the spectral irradiation of sunlight and in experimental experience the value of J SC can be limited by reflection losses, electrical resistance losses, shadowing losses and recombination losses [9]. Basically, the formula of the J SC is very complex, i.e.,…”

Section: Modellingmentioning

confidence: 99%

“…The performance of solar cells is expressed by the characteristics of short circuit current density (J SC ), open circuit voltage (V OC ), fill factor (FF) and efficiency (η). Some solar cell models state that the working of solar cells is equivalent to a series of combinations of current sources (which are generated by light) with a diode [10]. Therefore, the value of solar cell performance parameters is related to a diode parameter.…”

Section: Introductionmentioning

confidence: 99%

“…The temperature rise also causes a decrease in FF and η due to the significance of V OC change to temperature. Many cases have reported that the temperature is not significant in changing the resistance but J O is exponentially dependent on temperature [9], [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accurate Model for Temperature Dependence of Solar Cell Performance According to Phonon Energy Correction

Tiandho

Sunanda

Afriani

et al. 2018

Latvian Journal of Physics and Technical Sciences

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In many experiments, it has been reported that the performance of solar cells decreases with increasing temperature. This effect arises due to an increase in the intrinsic carrier concentration of material that directly affects the reverse saturation currents (J 0 ). As a result, the open circuit voltage which is inversely proportional to J 0 will decrease quite rapidly with increasing temperature. The intrinsic carrier concentration is determined by the bandgap energy of a material and its temperature. The Varshni relationship is a relation for the variation of the bandgap energy with temperature in semiconductors that has been used extensively in the model of a solar cell performance. But the problem is the Varshni relation just calculates the contribution of the vibrational part at the temperature, which is much greater than the Debye temperature. These works proposed a model of temperature dependence of solar cell performance that involves phonon energy correction and electron-phonon coupling interaction. This correction is applied because the electron-phonon coupling interaction is an intrinsic interaction of semiconductors. The existence of interaction cannot be avoided either experimentally or theoretically. The proposed model is compared with experimental data, which have fairly high accuracy.

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Section: Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Accurate Model for Temperature Dependence of Solar Cell Performance According to Phonon Energy Correction

Tiandho

Sunanda

Afriani

et al. 2018

Latvian Journal of Physics and Technical Sciences

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“…6. The equations describing the model is well-known in the literature (D. Bonkoungou et al, 2013;V. Tamrakar et al, 2015).…”

Section: Pv Arrays and Mppt Algorithmmentioning

confidence: 99%

A Comparative Study between H5 and HERIC Transformer-Less Inverters for PV Standalone System

Hendawi

2018

IJCET

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“…Typically, simulation of equivalent circuit-based models featuring one to three diodes has been the common approach to predict the PV arrays' performance. 12 For mathematical modeling of PV arrays, a singlediode equivalent circuit-based model is used (see Figure 1). This model offers a good balance between simplicity and accuracy by adjusting parameters and modifying the saturation current function to match the open-circuit voltage of the model with experimental data from the solar arrays for a broad range of temperatures.…”

Section: Modeling and Simulation Of Pv Arrays And Mppt Controllermentioning

confidence: 99%

Direct, Efficient, and Real-Time Simulation of Physics-Based Battery Models for Stand-Alone PV-Battery Microgrids

Lee

Pathak

Ramadesigan

et al. 2017

J. Electrochem. Soc.

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With renewable energy based electrical systems becoming more prevalent in homes across the globe, microgrids are becoming widespread and could pave the way for future energy distribution. Accurate and economical sizing of stand-alone power system components, including batteries, has been an active area of research, but current control methods do not make them economically feasible. Typically, batteries are treated as a black box that does not account for their internal states in current microgrid simulation and control algorithms. This might lead to under-utilization and over-stacking of batteries. In contrast, detailed physics-based battery models, accounting for internal states, can save a significant amount of energy and cost, utilizing batteries with maximized life and usability. It is important to identify how efficient physics-based models of batteries can be included and addressed in current grid control strategies. In this paper, we present simple examples for microgrids and the direct simulation of the same including physics-based battery models. A representative microgrid example, which integrates stand-alone PV arrays, a Maximum Power Point Tracking (MPPT) controller, batteries, and power electronics, is illustrated. Implementation of the MPPT controller algorithm and physics-based battery model along with other microgrid components as differential algebraic equations is presented. The results of the proposed approach are compared with the conventional control strategies and improvements in performance and speed are Batteries have been integrated in microgrids to mitigate intermittent characteristics of alternative energy sources such as solar, wind, and wave, thereby enhancing grid operation and reliability.1,2 They are well suited for microgrid applications due to their versatility, high energy density, and efficiency. 3 The cost of batteries continues to decrease while their performance and life have continued to increase. 4 However, lithium-ion batteries, which are the most widely used energy storage systems implemented in microgrids today, are still the most expensive component, accounting for about 60% of the overall Capital Expenditure (CapEx).5 Conservative operations in current microgrids cause high cost and low energy efficiency, underutilizing and overstacking batteries. The current microgrid controls cannot utilize batteries aggressively to achieve high penetration of renewables and maximize life and usability of batteries in the meantime. They implement empirical/equivalent-circuit battery models, treating batteries as just a black box, which does not account for its internal states, and place batteries in a small portion of the entire microgrid, which means current microgrids do not consider batteries principal components. [6][7][8][9][10] For example, if the internal temperature of the battery is not modeled, then the battery must be operated at very low rates to ensure that the internal temperature does not reach high enough values that reduce battery life and create unsafe operating c...

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Single-Diode Pv Cell Modeling And Study Of Characteristics Of Single And Two-Diode Equivalent Circuit

Cited by 34 publications

References 2 publications

Accurate Model for Temperature Dependence of Solar Cell Performance According to Phonon Energy Correction

Accurate Model for Temperature Dependence of Solar Cell Performance According to Phonon Energy Correction

A Comparative Study between H5 and HERIC Transformer-Less Inverters for PV Standalone System

Direct, Efficient, and Real-Time Simulation of Physics-Based Battery Models for Stand-Alone PV-Battery Microgrids

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