Backtracking search algorithm with Lévy flight for estimating parameters of photovoltaic models

Zhang, Yiying; Jin, Zhigang; Zhao, Xin; Yang, Qiuling

doi:10.1016/j.enconman.2020.112615

Cited by 57 publications

(30 citation statements)

References 59 publications

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“…Table 1 illustrates the specifications of these PV modules comprising the key electrical data and thermal coefficients. [49][50][51][52][53][54] On the basis of AEFA explanation and performance, there are two main factors that affect its performance such number of populations N P and the total number of iterations T max . The selected optimal values of these factors are N P = 50 and T max = 500.…”

Section: Simulation and Numerical Resultsmentioning

confidence: 99%

“…In this matter, two commercial PV modules are used for more verifications like PWP‐201 and STM6‐40 solar units. Table 1 illustrates the specifications of these PV modules comprising the key electrical data and thermal coefficients 49‐54 …”

Section: Simulation and Numerical Resultsmentioning

confidence: 99%

“…The adopted limits of these 9 parameters per each module under study are summarized in Table 2. It is worth mentioning that these limits are same used in the literature to avoid biased comparisons which are extracted from references 49‐57.…”

Section: Simulation and Numerical Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Artificial electric field algorithm to extract nine parameters of triple‐diode photovoltaic model

2020

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This paper addresses a new attempt of the AEFA to define the uncertain model parameters of TDM of PV units. Two commercial PV modules are investigated with intensive simulations and necessary analysis. The parameters of AFEA based TDM are validated thru the empirical dataset points. Necessary performance assessments are made which signify the AEFA results compared to others. Dynamic simulations of MPP is performed.

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Section: Simulation and Numerical Resultsmentioning

confidence: 99%

Section: Simulation and Numerical Resultsmentioning

confidence: 99%

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Artificial electric field algorithm to extract nine parameters of triple‐diode photovoltaic model

2020

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“…A Estatística Computacional é uma interface entre a Ciência da Computação e a Estatística, sendo essa uma das ferramentas mais utilizadas em comprovações matemáticas e tecnológicas no desenvolvimento de soluções, além de prover recursos e formas de otimização com problemas complexos, um exemplo notório são os algoritmos de buscas, baseados em modelos matemáticos que concedem resultados aproximados da realidade mediante inferências heurísticas (Guha et al, 2020;Zhang et al, 2020).…”

Section: Estatística Computacionalunclassified

Análise da dispersão dos indicadores de desempenho para a tomada de decisão entre duas ferramentas de modelagem fuzzy

Silva¹,

Júnior²,

Parente³

et al. 2020

RSD

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Analisar métodos de processamento de dados e garantir resultados coerentes é um trabalho árduo para os cientistas, o fato é que a otimização de um processo faz a diferença independente de qual área esteja sendo trabalhada. Existem ferramentas que consolidam estudos como esse, uma delas é o método comparativo utilizando análise de dispersão que foi utilizado na presente pesquisa ao trabalhar com o aplicativo Aventureiros Escolares que é o um dos objetos de estudo, com ele foi analisado o agente de inferências denominado Fuzzylite. O estudo de caso foi uma boa opção para a pesquisa ao analisar os métodos de inferência modelados no app e realizar uma comparação com o Toolbox Fuzzy do MatLab®, com isso o objetivo da presente pesquisa é analisar as duas ferramentas citadas e apontar qual delas teve o melhor desempenho utilizando a mesma modelagem Fuzzy. Por meio da análise de dispersão foi possível identificar um melhor resultado para o modelo empregado no Fuzzylite.

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“…In recent years, due to the characteristics of insensitive to objective functions and easy to implement, meta-heuristic methods have received widespread attention in the fields of the parameter extraction of PV models. Zhang et al [17] used Backtracking Search Algorithm (BSA) for identifying parameters of PV models. Genetic Algorithm (GA) is a classical meta-heuristic algorithm and several improved GAs were applied to extract the parameters of PV models [18]- [20].…”

mentioning

confidence: 99%

An Improved Differential Evolution to Extract Photovoltaic Cell Parameters

Liao

et al. 2020

IEEE Access

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Parameter extraction of photovoltaic (PV) models plays a vital role in simulation, evaluation and control of PV systems. It requires to identify the parameters of different PV models quickly and accurately. In this paper, an improved differential evolution by reusing the past individual vectors and adaptive mutation strategy is proposed to extract PV parameters. In the proposed method, the successful difference vectors from previous generations are introduced to produce the offspring in the next generations to improve the performance of differential evolution. In addition, to obtain a nice result, an adaptive mutation strategy is considered to establish a good balance of exploration and exploitation. The proposed method is applied to identify the parameters of different PV models, such as single diode, double diode, and PV models. Comparison results demonstrate that the proposed method obtains the competitive performance on accuracy, reliability and convergence when compared with other state-of-the-art methods.

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Backtracking search algorithm with Lévy flight for estimating parameters of photovoltaic models

Cited by 57 publications

References 59 publications

Artificial electric field algorithm to extract nine parameters of triple‐diode photovoltaic model

Artificial electric field algorithm to extract nine parameters of triple‐diode photovoltaic model

Análise da dispersão dos indicadores de desempenho para a tomada de decisão entre duas ferramentas de modelagem fuzzy

An Improved Differential Evolution to Extract Photovoltaic Cell Parameters

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