A Novel Approach of Controlling the Solar PV Integrated Hybrid Multilevel Inverter

Abstract

The part of renewable energy systems like solar photovoltaic (PV) and wind power generation (WPG) is playing an energetic role in energy production. The power electronics technology growths have directed to the progresses in the solar power generation and solar PV sources have the potential to progress one of the key providers to the upcoming electricity. Lower voltage rating of solar PV systems requires a high voltage progress converter for parts grid associating with a DC-AC inverter. The solar energy acquired from the solar panel varies with times and solar irradiation. The boost DC/DC converter is used to sustain the constant output voltage achieved from the solar panel using MPPT algorithm and is operated according to the requirement. A 1-Ф cascade 13-level inverter is used to produce 13-level output voltage from the DC supply voltage achieved from PV panels. It offers better-quality sinusoidal output voltage and current waveforms and lower total harmonic distortion. In this paper, the proposed model is designed and the results are verified through simulation using MATLAB/SIMULINK tools.

Design of a multi-level inverter for solar power systems with a variable number of levels technique

“…Generally, PV modules require many solar cells connected in parallel and series to achieve sufficient voltage and power [19]. A forward-biased parallel diode connected to a current source is represented in Figure 2 [20]. A PV-cell's load current is given as:…”

Integration of an optimized neural network in a photovoltaic system to improve maximum power point tracking efficiency

“…There are dozens of methods that have been reported in the literature to track the maximum power point [4], [5]. Among the most widely used methods and techniques used by researchers cited by [6], [7], are the following: fractional open circuit voltage, perturbation and observation (P&O), fractional short circuit current and incremental conductance (IncCon). The research and development communities are continuously striving to improve the existing methods with the addition of artificial intelligence (AI) based systems such as fuzzy logic, neuronal networks and ANFIS [8], [9].…”

Analysis of light tubes in interior daylighting system for building

“…Hence, power consumption by LEDs in the aisles for a whole year would be 1350 KWh. Researchers are also working on different solar PV grid point system to reduce and save energy [39,40]. Daylighting can reduce the scarcity of energy [41] and saving energy is the huge requirement to this world [42].…”