Evaluation of mathematical methods to characterize the electrical parameters of photovoltaic modules

Aoun, Nouar; Bailek, Nadjem

doi:10.1016/j.enconman.2019.04.057

Cited by 31 publications

(28 citation statements)

References 65 publications

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“…47 In the framework of AEFA, agents represent charged particle and their strength is measured by their charge polarities. Initially, the location of ith agent in the search space can be represented as depicted in Equation (10).…”

Section: Aefamentioning

confidence: 99%

“…7 Furthermore, many analytical approaches have been utilized in finding the same objective. [8][9][10] However, these models are very complex and suffer from computational procedures and mathematical concerns. Unlike these methods, an iterationbased method is used to fix the undefined parameters, as proposed in reference 11.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, several models have been implemented in PSCAD program to represent these parameters 7 . Furthermore, many analytical approaches have been utilized in finding the same objective 8‐10 . However, these models are very complex and suffer from computational procedures and mathematical concerns.…”

Section: Introductionmentioning

confidence: 99%

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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: Aefamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2020

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“…Energy intensity of transport is a current topic around the world [2]. An emphasis on technologies ensuring clean environment is greatly demanded of modern cities, where the significant growth of transportation results in increased pollution and other serious environmental problems [3].…”

Section: Introductionmentioning

confidence: 99%

“…In order to effectively control the photovoltaic system itself and the use of the energy produced, it is necessary to make precise measurements with a high degree of accuracy. Scientists are still working on the evaluation of mathematical methods to characterize the electrical parameters of photovoltaic panels [2]. The relationships between the electrical parameters characterizing the photovoltaic system are very important [22].…”

Section: Introductionmentioning

confidence: 99%

Charging electric cars as a way to increase the use of energy produced from RES

2020

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AbstractThe article contains an analysis of charging electric cars as a way to increase the use of energy produced from a photovoltaic system. A photovoltaic system is described, consisting of two micro installations, with a power output of up to 40 kWp each, supplying two sectors of the building of the Lublin Science and Technology Park. An internet platform for monitoring the operation of a photovoltaic system is presented. Next, an innovative system for monitoring, consumption and production analysis of electric energy in individual building sectors is described. A surplus of energy produced in one of the sectors was found. It was proposed that this excess energy would be used to charge electric vehicles. An analysis of the surplus power generated by the photovoltaic system in excess of the energy consumed by the building sector was used to determine the power available to the wall charger. The surplus of energy produced was used for calculations related to the amount of charging the electric vehicle required and the cost of traveling 100 km. Charging an electric car not only provides a faster return on investment in the installation, but also presents drivers with a very ecological and economical transport solution.

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Modeling of the operating characteristics of photovoltaic modules based on particle swarm optimization

Provensi

Grala

Zukeram

et al. 2022

Env Prog and Sustain Energy

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This work evaluates the use of particle swarm optimization to extract the parameters that represent a photovoltaic cell in the model of one diode and five parameters (1D5P) to obtain current versus voltage characteristic curves (I Â V) of a photovoltaic module operating under a wide range of temperature and irradiation scenarios. In all the modeling and simulation processes, only information of the module's data sheet provided by the manufacturers was used, without depending on results from other simulations or external data collections. To validate the study, the simulation of the current versus voltage (I Â V) curves of a commercial photovoltaic module was made, and this was compared with data provided by the manufacturer and also compared with Chenni's method, which is consolidated by the literature. Errors of less than 0.3% were obtained for the simulations performed under the standard test conditions and in temperature and irradiation situations commonly found in practice, as is the case, of G = 700 W/m 2 and T c = 40 C, the 1D5P method showed an average error of approximately 1%, slightly surpassing the Chenni's method where the error was approximately 1.4%. Statement of Industrial Relevance:In developing countries, such as Brazil, a significant increase in the portion referring to solar energy in the Brazilian energy grid is noted. As in 2016, this portion was only 0.02%, though in 2020, according to the Brazilian Solar Energy Association (ABSOLAR), 1 this portion had an increase of 75 times and reached the value of 1.5%. In addition, ABSOLAR's forecast for 2030 is that solar energy will reach 10% of the Brazilian energy grid. One of the reasons for this is that industrial consumer units are increasingly looking for alternative energy sources due to high energy inflation. Photovoltaic generators are an excellent option for industries because they are clean and sustainable energy. 2 It is silent and brings a financial return for the investor. Although, even with all the benefits, the photovoltaic generator has a high acquisition cost, especially for consumer units that demand much energy, as is the case of industries. Thus, correct and precise dimensioning for the photovoltaic generator is necessary. One way to increase the accuracy of dimensioning is to use simulation of the photovoltaic modules, which is the objective of this article.Novelty or Significance: The developed method uses the particle swarm optimization with constriction factor to simulate I Â V curves of a photovoltaic module for any

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Evaluation of mathematical methods to characterize the electrical parameters of photovoltaic modules

Cited by 31 publications

References 65 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

Charging electric cars as a way to increase the use of energy produced from RES

Modeling of the operating characteristics of photovoltaic modules based on particle swarm optimization

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