Early degradation factors of solar 33 kV grid connected power plant, a comparative study

Abstract

This paper identifies and analyses early degradation mechanisms observed in photovoltaic (PV) modules of power plants over 7 years of operation on the coast power grid in Mauritania. Performance degradation takes place due to several reasons such as material degradation following dust accumulation, high temperature, and humidity. Also, mismatch of electric power parameters such as increasing loads above projected values of the plant. Therefore, this paper analyses and studies the degradation in four phases. First, the visual inspection detects the degradation of materials and defects such as the presence of dust, cracks, browning (discoloration), and connection corrosion. The second phase proposes a mathematical model to calculate the early degradation rate (DR) of different components, such as short circuit current (Isc), open circuit voltage (VOC), the maximum yield power (Pmax), and the fill factor (FF) of the PV module. The third phase is a MATLAB modeling of the measured real-time data of the operating PV system to test Power versus voltage curves (with and without degradation) to examine the presence of failure of PV modules. Finally, compare the evolution of real-time production data for three measured years (2015, 2016, and 2017) with the simulation curves of this study.

Metaheuristic Optimization of Maximum Power Point Tracking in PV Array under Partial Shading

“…Thus, there has been considerable interest in algorithms, such as PSO, GA, and ACO, to enhance the performance of MPPT systems. PSObased MPPT algorithms are useful in improving the monitoring accuracy and stability of grid-connected PV systems and their efficiency has been demonstrated in several studies [19][20][21][22][23][24]. Similarly, the authors in [25][26][27][28] have utilized GA to optimize MPPT during dynamic operating conditions.…”