Parameters estimation of solar photovoltaic module using camel behavior search algorithm

Abstract

Finding accurate mathematical model of electrical equivalent circuit of solar photovoltaic (PV) cell is crucial to achieve and improve maximum power point, simulation design and efficiency computations for solar energy system. Due to the nonlinearity of the characteristic of solar PV cell, optimization methods are the best for estimating the electrical model parameters which lead to accurate estimating I-V curve. In this paper, camel behavior search algorithm is proposed as a new method for estimating the five different parameters for single diode model of PV solar module. This is tested on multicrystalline KC 200GT PV module. A measurement data of the module is used to verify and test the consistency of accurately estimating the set of parameters that govern the characteristics I-V relationship of solar cell. The simulation results show that the current-voltage characteristic and power-voltage curve obtained are matching to the measured experimental data set. For performance evaluation, the proposed method is simple, fast in convergence response and has an acceptable accuracy in obtaining the five estimated parameters.

Design, modeling and simulation of perturb and observe maximum power point tracking for a photovoltaic water pumping system

“…The impedance of this load will impose the operating point on the photocell as a function of its current-voltage characteristic (I, V) that depends on the considered irradiance and other parameters. The output current of the PV module can be written as shown in the relation (1) [21]. In a PV generator, there are usually several photovoltaic cells put together with different modes (series/parallel) to build power supply [22], [23].…”

Recent Meta-Heuristic Algorithms with a Novel Premature Covergence Method for Determining the Parameters of PV Cells and Modules

“…Camel Behavior Search Algorithm (CBSA, 2020) [30] For estimating the parameters of SDM for the multi-crystalline KC 200GT PV module, CBSA was proposed. This algorithm was validated on the SDM of the PV solar module, but its final outcome and convergence speed still need significant improvement.…”

Adaptive photovoltaic solar module based on internet of things and web-based monitoring system

“…Many previous researchers have been done to extend the photovoltaic solar module to support energies. Some research has been on the performance of grid-tied photovoltaic solar systems [1], behavior search algorithm on estimation of solar photovoltaic [2] and design for cost reduction and system compliance for Photovoltaic solar farm [3]. Renewable energy is the alternative power source in achieving greater popularity and solar photovoltaic is a good combination that can offer beneficial solutions [4].…”