**2. Classification and literature review**

Earliest, numerous research workings have been developed only for obtaining parasitic resistances (series and shunt) values [6] by the cause of their high influences on the PV's performances. Then, it has been observed some influences of all PV's electrical parameters on the PV's performances [7], which leads the researchers, for doing a large number of studies for obtaining their accurate values.

**33**

**Figure 2.**

*Study of a New Hybrid Optimization-Based Method for Obtaining Parameter Values of Solar Cells*

In literature, different approaches, that allow the evaluation of the PV cell's electrical parameters values, exist [8–11]. There are some analytical approaches [12–15], and those based on the optimization process. By the cause of limits of the analytical method to achieve with high precision the PV parameters values, our interest is gone for the optimization-based methods. This latter can be classified as in **Figure 2**. The optimization algorithms are classified into traditional, heuristic/metaheuristic, and hybrid groups. More details about each group of optimization-based

The numeric traditional optimization-based methods are used to find the optimum of a function using gradient or hessian. These numeric-traditional methods applied for PV parameters obtaining values, are based on the reduction of the number of parameters to be evaluated, such as Kashif's one [16]. In this subsection's methods, the traditional iterative Newton-Raphson (NR) approach [17], iterative curve-fitting [18], can also be used. It necessitates an iterative process with good initialization guess of PV parameters values, to converge to the best solutions. Others build a set of nonlinear transcendental equations (based on short-circuit, open-circuit, MPP, derivatives of the I-V curve) and execute an optimization problem instead of solving by numerical methods [17]. For the noniterative method, the

Even though with their effectiveness to get a good local search, they still have other limitations, such as the need of a convex, continuous, and differentiability of the objective function. Besides, good guessing of initial parameters values is necessary for a good converging process. Also, as the complexity of the modeling process

increase, as the optimizer loses the ability for obtaining better results.

*Classification of PV cell's electrical parameter determination optimization-based methods.*

*DOI: http://dx.doi.org/10.5772/intechopen.93324*

are given at the following subsections.

Levenberg-Marquardt [19] can be cited.

**2.1 Numeric traditional**
