An accurate method for the PV Model identification based on a genetic algorithm and the interior-point method

TLDR: In this paper, a multi-objective global optimization problem is formulated using only the main equation of the PV module at these two conditions that restrains the errors due to employing the experimental temperature coefficients.

About: This article is published in Renewable Energy.The article was published on 2014-12-01 and is currently open access. It has received 84 citations till now. The article focuses on the topics: Photovoltaic system & Maximum power point tracking.

Figures

Table 4: The box constraints of the electrical parameters.

Table 1: PV modules studied in this paper and their datasheet information.

Table 5: The pseudocode of the proposed PV model identification method.

Figure 8: The identification error of the proposed methods comparing with the results in [13] and [28].

Figure 9: The absolute normalized curve errors between the predicted and manufacturer provided I − V curves of the ST40 module introduced by different methods at (a) 1000W/m2 and (b) 200W/m2 insolation.

Figure 6: The predicted I − V curves (the solid lines) and the manufacturer’s points (the circle markers) of the Sunpower E20/333 PV module for different values of solar irradiance and Tc = 25◦C, in addition to the case that Tc = 50◦C (the thicker line and the solid circle markers).

Frequently asked questions

Q1. What contributions have the authors mentioned in the paper "An accurate method for the pv model identification based on a genetic algorithm and the interior-point method" ?

The classical PV model identification methods use the manufacturers provided maximum power point ( MPP ) at the standard test condition ( STC ). The proposed method in this paper estimates an accurate equivalent electrical circuit for the PV modules using both the STC and NOCT information provided by the manufacturers. 

Q2. What is the execution time of the proposed method?

The execution time is independent of the parameters resolution and the method can be terminated in the middle of the execution according to the accuracy-time trade-offs and having the sub-optimal solution. 

Q3. What is the proposed method for estimating the electrical parameters of a PV module?

The proposed method relies on a multi-objective optimization problem (MOOP) using either any empirical inaccurate equations or any assumptions on the parameters. 

Q4. What is the problem with the optimization techniques?

the methods based on the optimization techniques solve repeatedly the nonlinear transcendental The author− V curve for the whole range of the PV voltage and it causes them to be slow. 

Q5. What are the main limitations of these methods?

The main limitations of these methods are that they either require experimental measurements or use only the STC information available in datasheets. 

Q6. What are the output voltage and current of the PV module?

(1)where Vpv and Ipv are, respectively, the output voltage and current of the PV module and all other symbols are defined as follows:q