Parameter extraction of photovoltaic cell using an improved cuckoo search optimization

Gude, Srihari; Jana, Kartick Chandra

doi:10.1016/j.solener.2020.04.036

Cited by 77 publications

(23 citation statements)

References 42 publications

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“…When the entire I-V curve is available, the parameters of the SDM may be estimated using curve fitting or optimisation algorithm [26,31,32]. In general, the I-V characteristics are not given in manufacturers' datasheets and even when provided, they are specified under only one operating condition, namely the STC [33].…”

Section: Mathematical Grounds For the Analytical Methodsmentioning

confidence: 99%

“…In addition, there are other strategies for the parameter extraction, such as those based on computational intelligence [23] and those using meta-heuristic algorithms [24]. More complex methods of parameter extraction can also be found in the literature, such as those based on optimisation algorithms [25,26] and those based on differential evolution [27]. There are also analytical methods which are based on the double-diode circuit model which has seven parameters [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

Anani

Ibrahim

2020

Energies

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This paper presents a succinct exploration of several analytical methods for extracting the parameters of the single-diode model (SDM) of a photovoltaic (PV) module under standard test conditions (STC). The paper investigates six methods and presents the detailed mathematical analysis leading to the development of each method. To evaluate the performance of these methods, MATLAB-based software has been devised and deployed to generate the results of each method when used to extract the SDM parameters of various PV test modules of different PV technologies. Similar software has also been developed to extract the same parameters using well-established numerical and iterative techniques. A comparison is subsequently made between the synthesized results and those obtained using numerical and iterative methods. The comparison indicates that although analytical methods may involve a significant amount of approximations, their accuracy can be comparable to that of their numerical and iterative counterparts, with the added advantage of a significant reduction in computational complexity, and without the initialization and convergence difficulties, which are normally associated with numerical methods.

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Section: Mathematical Grounds For the Analytical Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

Anani

Ibrahim

2020

Energies

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show abstract

“…When the entire I-V curve is available, the parameters of the SDM may be estimated using curve fitting or optimization algorithm [31,32,26]. In general, the I-V characteristics are not given in manufacturers' datasheets and even when provided, they are specified under only one operating condition, namely the STC [33].…”

Section: Mathematical Grounds For the Analytical Methodsmentioning

confidence: 99%

“…In addition to analytical and numerical methods for parameters extraction, there are other strategies, such as those based on computational intelligence [23] and those based on the metaheuristic firefly algorithm [24]. More complex methods of parameter extraction can also be found in the literature, such as those based on optimization algorithms [25,26] and those based on differential evolution [27]. There are also analytical methods which are based on the double-diode circuit model of a PV generator which has seven parameters [28,29].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

Anani¹,

Ibrahim²

2020

Preprint

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This paper presents a concise exploration of several analytical methods for extracting the parameters of the single-diode model (SDM) of a photovoltaic (PV) module under standard test conditions (STC). The paper investigates six methods and presents the detailed mathematical analysis leading to the development of each method. To evaluate the performance of these methods, MATLAB-based software has been developed and deployed to synthesize the results of each method when used to extract the SDM parameters of various PV test modules of different PV technologies. Similar software has also been developed to extract the same parameters using well-established numerical and iterative techniques. A comparison is subsequently made between the synthesized results and those obtained using numerical and iterative methods. The comparison indicates that in spite of the fact that analytical methods may involve fair amount of approximations, their accuracy can be comparable to that of their numerical and iterative counterparts, with the added advantage of significant reduction in computational complexity, and without the initialization and convergence difficulties, which are normally associated with numerical methods.

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“…Twostep linear least-squares method is presented in [19] taking into consideration intrinsic properties of the model equation to extract the parameters of PVSDM. Other techniques such as Coyote Optimization Algorithm (COA) [20], evolutionary algorithms (EAs) [21] and an improved cuckoo search optimization (ICSO) [22] are presented to extract PVSDM and PVDDM. Additionally, Bacterial Foraging Optimization (BFO) [23] technique can extract the optimal parameters when changing the weather conditions.…”

Section: Introductionmentioning

confidence: 99%

A Forensic-Based Investigation Algorithm for Parameter Extraction of Solar Cell Models

et al. 2021

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Parameter extraction of photovoltaic cell using an improved cuckoo search optimization

Cited by 77 publications

References 42 publications

Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

A Forensic-Based Investigation Algorithm for Parameter Extraction of Solar Cell Models

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