Photovoltaic devices have a spectral response that depends directly on the light spectrum wavelength, causing their performance to be significantly modified with the spectral distribution of the incident radiation. It is essential to consider that the spectrum of sunlight varies with the location, climate, season, time of day and even the angle of incident rays. Thus, it is essential to evaluate the behavior of photovoltaic technologies in different light spectrums to obtain the best conditions for the installation of photovoltaic systems and minimize performance losses. From this perspective, there is great difficulty in analyzing the efficiency of these devices in outdoor tests, taking into account specific light spectra since the solar spectrum is very broad. In order to contribute to this aspect, this work proposes the use of a device for conducting indoor experimental tests with artificial light based on power RGB LED to analyze the performance of photovoltaic cells using amorphous, polycrystalline and monocrystalline silicon technology in spectra of specific light. This analysis is performed by obtaining the characteristic curve of the current and voltage of the tested cells and their extracted electrical parameters.

This paper presents a performance analysis of silicon photovoltaic cells performed on a diagnostic device used in a laboratory which allows the measurement of photovoltaic cell performance parameters and the detection of failures such as cracks, micro-cracks, corrosion, cold solder points, and others caused by the process of aging, manufacturing, and post-manufacturing. Quantitative diagnostic tests are performed under a continuous light source and heating and cooling sources of photovoltaic cells, controlled, allowing the measurement of the I-V characteristic curve of a photovoltaic cell under different types of irradiance and temperature. The device also allows capturing thermal and high-resolution images to identify possible defects found in photovoltaic cells. Experimental tests were performed considering the I-V curve parameters, thermography, and visual inspection of an enlarged image.

The distributed power storage and distributed power generation units are the basic units for storage and distribution in Microgrids. Some electrical topology of distributed storage units are characterized by the use of bidirectional converters that store energy in a battery bank at certain moments and supply this energy to Microgrid bus when necessary. The control of these bidirectional converters must consider the battery protection against voltage surges and transients, when the batteries are charging, so as the protection of the loads connected to the Microgrid bus, when the battery supplies the energy stored. The One-Cycle Control (OCC) technique has been used in the switching converters to allow fast response to transients, no overshoots and zero steady state error. The objective of this work is to use OCC technique in a bidirectional Buck-Boost converter to charge a battery bank when they are discharged, and to supply the battery energy to the loads when necessary, ensuring protection to the battery and to the loads.

This paper presents a Fuzzy controller applied to a DC-DC Boost converter in order to minimize the system's power loss effects by adjusting the duty cycle of the converter. The variation in the input voltage and the losses in the electronic components of the converter (load variations) are the main causes of these power losses. The main objective of the controller is to maintain a constant voltage at the load regardless of these losses. The Fuzzy controller was embedded on a Digital Signal Processor in order to have a great reliability and a faster system response. The results show that the Fuzzy control technique can be utilized to minimize the effects of the system's uncertainties and disturbances while keeping the system's output response in its operating point.