Parameter Estimation Method to Improve the Accuracy of Photovoltaic Electrical Model

Silva, Emerson Alves da; Bradaschia, Fabrício; Cavalcanti, Marcelo C.; Nascimento, Aguinaldo José do

doi:10.1109/jphotov.2015.2483369

Cited by 110 publications

(64 citation statements)

References 22 publications

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“…In Figure 8 Table 1. Model [4] also exhibits similar performance, while the remaining models are less accurate in CC-R. The mismatch portions of models [7,12,13] are highlighted in Figure 8.…”

Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 91%

“…Matlab/Simulink environment is used to simulate the proposed model and numerous recently proposed models [4,7,12,13]. The polycrystalline technology-based PV module of type Kyocera 200GT is selected [24].…”

Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 99%

“…A maximum power point tracking (MPPT) technique, an indispensable element of the system, utilizes the PV model to inspect the different aspects of PV systems such as design issues, electronic interface topologies, the working principle, and control schemes of algorithms [4]. As a result, a PV simulator based on an accurate and fast PV model is required [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, a PV simulator based on an accurate and fast PV model is required [4,5]. Moreover, the simulator provides a facility to compare the goodness of MPPT algorithms under the same ambient weather conditions [6].…”

Section: Introductionmentioning

confidence: 99%

“…An intensive scanning with very small steps is adopted in [4] to optimize the n and R s . Since R p is estimated through simplified assumption, such a solution is not effective at low irradiance conditions [7].…”

Section: Introductionmentioning

confidence: 99%

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Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

et al. 2018

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Abstract:The correct approximation of parallel resistance (R p ) and series resistance (R s ) poses a major challenge for the single diode model of the photovoltaic module (PV). The bottleneck behind the limited accuracy of the model is the static estimation of resistive parameters. This means that R p and R s, once estimated, usually remain constant for the entire operating range of the same weather condition, as well as for other conditions. Another contributing factor is the availability of only standard test condition (STC) data in the manufacturer's datasheet. This paper proposes a single-diode model with dynamic relations of R p and R s . The relations not only vary the resistive parameters for constant/distinct weather conditions but also provide a non-iterative solution. Initially, appropriate software is used to extract the data of current-voltage (I-V) curves from the manufacturer's datasheet. By using these raw data and simple statistical concepts, the relations for R p and R s are designed. Finally, it is proved through root mean square error (RMSE) analysis that the proposed model holds a one-tenth advantage over numerous recently proposed models. Simultaneously, it is low complex, iteration-free (0 to voltage in maximum power point V mpp range), and requires less computation time to trace the I-V curve.

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Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 91%

Section: Discussion Of Implementation Validation and Comparative Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

et al. 2018

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A new emperor penguin optimisation‐based approach for solar photovoltaic parameter estimation

Chauhan

Prakash

2021

Int Trans Electr Energ Syst

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Summary Mathematical model parameter estimation of solar photovoltaic (PV) cell, module and array represent a prodigious challenge in recent researches, where analytical, metaheuristic and hybrid techniques play a vital role for parameter extraction by using manufacturer's datasheet and experimental data, although the precise and highly reliable solution identification is still a complex problem to be solved. In this paper, a new Emperor Penguin Optimisation‐ (EPO) based parameter estimation approach for a single‐diode Rp solar PV model is presented that is cohesively analysed under different sets of temperature and irradiance (G). Validation of the proposed technique is perceived on the analysis of performance characteristics, that is, current‐voltage (I‐V) and power‐voltage (P‐V) of KC200GT, PWP201, and STP6 120‐36 PV modules under various simulation conditions. Moreover, estimated results are compared with the experimental data and several established estimation techniques in the literature for validation and demonstrate the proposed technique with highly precise outcomes having reduced computational cost for the PV model parameter extraction problem.

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A novel black widow optimization approach to improve the precision in parameter estimation problem of solar photovoltaic electrical model

Chauhan

Prakash

2022

Env Prog and Sustain Energy

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Mathematical modeling of solar photovoltaic (PV) cell/module or array is to assess its unknown modeling parameters with the experimental current-voltage (I-V) characteristic or from the manufacturer's datasheet, where exploitation of implicit and precise solution is a stern concern among researchers for the designing of an optimized solar PV system. Hence, in this article, a robust pheromone value black widow optimization (pv-BWO) algorithm is proposed to estimate precise modeling parameters of equivalent solar PV single-diode model (SDM), double-diode model (DDM), and three-diode model (TDM). The proposed algorithm is well investigated in coordination with three case studies that hold polycrystalline and monocrystalline PV modules. The suggested technique is validated through the analysis of I-V and power-voltage (P-V) performance characteristics that are meticulously analyzed under various environmental constraints. The first two case studies are widely investigated in the literature also, whereas, to affirm the suitability of pv-BWO under real implementation the third case study is carried out in an experimental environment. Furthermore, the pv-BWO method for the aforesaid case studies are validated and compared with the experimental data along with various well-established parameter estimation techniques in literature, where the proposed method promises a more reliable, stable, and precise solution for the parameter estimation problem.

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Parameter Estimation Method to Improve the Accuracy of Photovoltaic Electrical Model

Cited by 110 publications

References 22 publications

Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

A new emperor penguin optimisation‐based approach for solar photovoltaic parameter estimation

A novel black widow optimization approach to improve the precision in parameter estimation problem of solar photovoltaic electrical model

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