Energy efficiency and ratio performance are two key parameters for the analysis of the performance of photovoltaic (PV) modules. The present paper focusses on the assessment of the efficiency of four different photovoltaic module technologies based on energy efficiency and ratio performance. These PV modules were installed at the Applied Research Unit in Renewable Energy (URAER) in Algeria and were used to provide experimental data to help local and international economical actors with performance enhancement and optimal choice of different technologies subject to arid outdoor conditions. The modules studied in this paper are: two thin-film modules of copper indium selenide (CIS), hetero-junction with intrinsic thin-layer silicon (HIT) and two crystalline silicon modules (polycrystalline (poly-Si), monocrystalline (mono-Si)). These technologies were initially characterized using a DC regulator based on their measured I-V characteristics under the same outdoor climate conditions as the location where the monitoring of the electrical energy produced from each PV module was carried out. The DC regulator allows for extracting the maximum electrical power. At the same time, the measurements of the solar radiation and temperature were obtained from a pyranometer type Kipp & ZonenTM CMP21 and a Pt-100 temperature sensor (Kipp & Zonen, Delft, Netherlands). These measurements were performed from July 2020 to June 2021. In this work, the monthly average performance parameters such as energy efficiency are given and analyzed. The average efficiency of the modules over 12 months was evaluated at 4.74%, 7.65%, 9.13% and 10.27% for the HIT, CIS, mono-Si and poly-Si modules, respectively. The calculated percentage deviations in the efficiency of the modules were 8.49%, 18.88%, 19.74% and 23.57% for the HIT, CIS, mono-Si and poly-Si modules, respectively. The low variation in the efficiency of the HIT module can be attributed to the better operation of this module under arid outdoor conditions, which makes it a promising module for adaptation to the region concerned.

This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method can quickly convergence to the MPP, higher efficiency and low oscillation during different situations of climatic conditions.

This article proposes a new method to diagnose intern-turn short-circuit (ITSC) faults in the stator winding of an induction motor (IM). The ITSC faults change stator winding resistance values, which can be estimated in real time using a model reference adaptive system (MRAS). However, estimation of the stator resistance in the stationary reference frame may not provide accurate information when an incipient ITSC fault occurred in a given phase. As a result, the classical MRAS is limited to detecting symmetric ITSC faults and cannot detect asymmetric ones. To overcome this limitation, a novel approach based on the differences between the measured stator currents in motor phases and the estimated currents obtained from an IM model is proposed. These differences are multiplied by estimated stator currents and used to develop an adaptive mechanism using proportional integral (PI) regulators in each motor phase. To ensure stability, Popov’s criterion inequality is used in the adaptive rule design method. The proposed approach is stable and capable of detecting and estimating different levels of ITSC, including asymmetric faults, in various motor operating modes. The effectiveness of the proposed approach was verified through simulation and experimental results.

in this paper both dual-axis solar tracking and ANFIS MPPT to enhance the performance of grid-connected PV power plant. The two-axis solar tracking approach is used to track the sun and allow the solar panel to be placed perpendicular to the solar irradiation. The ANFIS MPPT approach is employed to keep the PV array operating at the maximum power point, an ANFIS MPPT algorithm has been proposed in this paper to find the requirements of response speed and dynamic stability. Simulations have been made through Matlab/Simulink. The results show that both the ANFIS MPPT algorithms and dual solar tracking and could enhance the efficiency and PV array output power.

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