Performance Evaluation of Solar PV-Based Z-Source Cascaded Multilevel Inverter with Optimized Switching Scheme

Abstract

AC loads may demand a fixed or variable voltage at their input terminals. When using inverters to power such loads, the response of the inverter must be precisely controlled to suit the demands of the AC loads. Inverters with higher efficiency and sensitivity will play an increasingly essential role as the need for solar PV applications in prospective green technology grows. To increase power quality and provide a reliable power source, an inverter architecture with harmonic reduction approaches is proposed. The multilevel inverter (MLI), unlike conventional inverters, is developed by cascaded single inverter units and is often used to connect renewable energy sources. As a result, they can be utilized to efficiently reduce harmonics. Among the three topologies, the most widely used in industries is the neutral-point clamped MLI. When the levels are raised, however, they demand a larger number of diodes. When the level of the flying capacitor exceeds three, several capacitors are necessary. As a result, the optimum option for synthesizing the right output voltage from several DC sources is a cascaded multilevel inverter (CMLI). Each link in a CMLI is connected by a single DC source; therefore, there is no voltage imbalance. However, getting equal DC voltages at the input of each unit is once again a limitation. In this work, various existing multilevel inverter topologies including hybrid topologies with different switching strategies are investigated and reported. The performance of a solar PV-based seven-level quasi-Z-source cascaded H-Bridge MLI (qZS-CHBMLI) has been thoroughly examined with the best switching scheme and best topology of multilevel inverters using MATLAB/Simulink.

Artificial Intelligence Techniques for the Photovoltaic System: A Systematic Review and Analysis for Evaluation and Benchmarking

“…A new deep learning model is used for the enhancement of visual ability in PV generation [31]. The improvement of accuracy is the primary objective of the mainly with realtime data analysis [32,33]. Figure 1 shows the basic process of the PV generation process.…”

“…The radiant energy is absorbed by the PV panel or grid of PV panels [34]. This radiant energy is then converted into DC power and then it is passed to the power electronic converters [32,35]. These converters convert the DC power into the grid frequency power [36].…”

Runge–Kutta optimization‐based selective harmonic elimination in an H‐bridge multilevel inverter

“…The conventional CHB-MLI topology includes a series connection of single-phase H-bridge inverters. Each H-bridge unit is fed by an independent DC source such as a DC battery, a PV cell, or a fuel cell [6]. In the asymmetric configuration of the CHB inverter, the number of levels is increased by combining unequal DC voltage sources, whereas, in the symmetric configuration, all the DC sources are identical.…”

“…Therefore, MLIs have gained significant popularity in many power system applications, including speed control of electric motors, electric vehicle drives, utility interface of DC power supply systems and flexible AC transmission systems, static var compensation systems, active filters, and reactive power controllers [5,6]. However, a significant disadvantage of MLIs is that upon increasing the number of levels, the number of switches also increases, causing losses and an increase in overall system complexity and cost [1,2].…”

Internet of Things Platform for Photovoltaic Maintenance Management: Combination of Supervisory Control and Data Acquisition System and Aerial Thermal Images

“…Fault detection and diagnosis (FDD) techniques are applied to develop preventive and predictive maintenance plans, avoiding PV performance reduction with lower operation and maintenance (O&M) costs [7,8]. Supervisory Control and Data Acquisition (SCADA) acquires data, e.g., irradiation, power production, performance ratios, voltage and current, among others, from different types of condition monitoring systems (CMS) about the real state of PV panels [9]. SCADA data is considered a time series and several statistical analysis techniques are proposed for fault detection and pattern recognition.…”