ABSTRACT
This chapter proposes a precise and straightforward photovoltaic (PV) module modeling process. The primary objective is to detect the five parameters of a single diode model (SDM) based on the parameters provided by all the commercial PV modules in the datasheet. The objective function is derived based on short circuit, open circuit, and equations of maximum power. The system presented is used to design four types of commercial PV modules (KC200GT multi-crystal, CS6K-280 M mono-crystalline, STM6 40-36mono-crystalline, and Pro. SW255 poly-crystalline). This paper recommends an Intelligent Computing Technique, the Harris Hawks Optimization (HHO), for solving the problem of parameter estimation of the PV module using the minimal information available from the manufacturer’s datasheet by implementing a single diode design. The HHO is based on cooperative actions and Harris hawks’ chasing style in nature is called surprise pounce. Finally, the efficiency of the proposed solution is illustrated by carrying out its comparison with the performance of the other four algorithms, including SSA, GWO, SCA, and DA, in terms of the sum of squared errors.
