An Improved Differential Evolution to Extract Photovoltaic Cell Parameters

Liao, Zuowen; Gu, Qun; Li, Shuijia; Hu, Zhenzhen; Ning, Bin

doi:10.1109/access.2020.3024975

Cited by 16 publications

(8 citation statements)

References 45 publications

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“…Since the Ortiz-Conde et al method was proposed in 2006, it has been widely cited [2,3,6,13,18,]. However, it has been most cited as an example of analytical solutions [3,6,13,28,[168][169][170][171][172][173].…”

Section: Introductionmentioning

confidence: 99%

Solar cell parameter accuracy improvement, via refinement of the Co-Content function. Part 1: theoretical analysis

Rangel-Kuoppa¹

2022

Eng. Res. Express

108

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In this Part 1 of this series of articles, the accuracy on the obtention of the shunt resistance (Rsh ), the series resistance (Rs ), the ideality factor (n), the light current (Ilig ), and the saturation current (Isat ), via the use of the Co-content function CC(V, I)= ∫0 V(I-Isc)dV (where Isc =I(V=0) ) is investigated theoretically, as function of the number of measured points per voltage (PV ) and percentage noise (pn ). Reasonable values are obtained for Rsh , Rs , and Ilig , with PV = 11 measurement points per V if the pn is 0.1 % or less. For a reasonable determination of n at least PV = 101 measurement points per V are needed. Isat determination requires pn of 0.01 % or lower with at least PV = 101 measured points per V and should be evaluated at large values of V. The results given in this Part 1 are used in Part 2 to discuss the reported application of the CC(V,I) to obtain Rsh , Rs , n, Ilig , and Isat found in the literature.

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Section: Introductionmentioning

confidence: 99%

Solar cell parameter accuracy improvement, via refinement of the Co-Content function. Part 1: theoretical analysis

Rangel-Kuoppa¹

2022

Eng. Res. Express

108

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“…Liao et al [29], developed Difference Vector in Differential Evolution with Adaptive Mutation (DVADE) strategy for a single, double, and multi-diode design. The function of DVADE is to determine the extracted parameters of different PV models in a quick interval of time, it reuses the past individual vectors and these vectors using differential evolution process and applied these vectors to mutation strategy [30].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Implementation of Robust Metaheuristic Algorithm to Extract Essential Parameters of Solar Cell

Arandhakar

Chaudhary²,

Depuru³

et al. 2022

IEEE Access

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Optimization complications are solved using meta-heuristic methods, which transforms the complex data into simplest way and computational process is quite attractive because of their intensification, diversification, and accurate evaluating/computational behavior on the nonlinear data. Among different existing meta-heuristic algorithms, Tabu Search Optimization (TSO) algorithms have robust performance due to escaping strategy from local optimum and extensive extraction ability. Hence, this paper delineates the TSO searching technique for extracting the parasitic parameters of solar Photovoltaic (PV) modules under different climatic stipulations. Double diode design is developed and implemented in the operational aspect based on the extraction issue. The six parameters of the solar cell, i.e., I Ph , I 01 , I 02 , R S , R P , a 1 are emulated and the obtained data is investigated using TSO approach, at the same time the extracted data is compared with the effective selected metaheuristic algorithms such as Gravitational Search Algorithm (GSA), Lightning Search Algorithm (LSA), Pattern Search (PS), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Compared to the existing algorithms, TSO has very less computational time to extract all the six parameters.

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“…This simplifies the assessment process. For single-, double-, and multi-diode plans, Liao et al [21] developed difference vector in differential evolution with adaptive mutation. DVADE's goal is to quickly determine the extricated limits of a broad range of PV models.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Novel Tabu Search Optimization Algorithm to Extract Parasitic Parameters of Solar Panel

Repalle¹,

Sarala

Mihet‐Popa

et al. 2022

Energies

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The aging of PV cells reduces their electrical performance i.e., the parasitic parameters are introduced in the solar panel. The shunt resistance (RSh), series resistance (RS), photo current (IPh), diode current (Id), and diffusion constant (a1) are known as parasitic or extraction parameters. Cracks and hotspots reduce the performance of PV cells and result in poor V–I characteristics. Certain tests are carried out over a long period of time to determine the quality of solar cells; for example, 1000 h of testing is comparable to 20 years of operation. The extraction of solar parameters is important for PV modules. The Tabu Search Optimization (TSO) algorithm is a robust meta-heuristic algorithm that was employed in this study for the extraction of parasitic parameters. Particle Swarm Optimization (PSO) and a Genetic lgorithm (GA), as well as other well-known optimization methods, were used to test the proposed method’s correctness. The other approaches included the lightning search algorithm (LSA), gravitational search algorithm (GSA), and pattern search (PS). It can be concluded that the TSO approach extracts all six parameters in a reasonably short period of time. The work presented in this paper was developed and analyzed using a MATLAB-Simulink software environment.

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An Improved Differential Evolution to Extract Photovoltaic Cell Parameters

Cited by 16 publications

References 45 publications

Solar cell parameter accuracy improvement, via refinement of the Co-Content function. Part 1: theoretical analysis

Solar cell parameter accuracy improvement, via refinement of the Co-Content function. Part 1: theoretical analysis

Analysis and Implementation of Robust Metaheuristic Algorithm to Extract Essential Parameters of Solar Cell

Implementation of a Novel Tabu Search Optimization Algorithm to Extract Parasitic Parameters of Solar Panel

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