A Review on Multilevel Inverter Topologies

Balal, Afshin; Dinkhah, Saleh; Shahabi, Farzad; Herrera, Miguel Angel García; Chuang, Yao Lung

doi:10.28991/esj-2022-06-01-014

Cited by 31 publications

(19 citation statements)

References 42 publications

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“…In order to extract solar energy, there is a need for a grid-tied inverter, DC-DC converter, maximum power point (MPPT) tracking system, batteries, and solar panels [25][26][27]. There are quite a few MPPT tracking techniques, including basic methods and optimized methods [28][29][30].…”

Section: Pv Systemmentioning

confidence: 99%

Techno-Economic Analysis of a 12-kW Photovoltaic System Using an Efficient Multiple Linear Regression Model Prediction

Pourmaleki

Agutu²,

Rezaei

et al. 2022

IJRCS

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Renewable energy sources are expected to replace traditional energy sources such as oil and gas in the future. It goes without saying that solar energy has been demonstrated to be a key source of green energy. Solar energy is used because it is abundant, pollution-free, and easily available. However, the power utility market requires highly exact solar energy forecasts. These challenges need the creation of a device that can precisely predict solar energy output via processing the location's weather data, which is accomplished through the use of machine learning and multiple linear regression (MLR). Some elements, such as the number of cloudy days, humidity, temperature, wind condition, and precipitation, should be addressed while simulating solar power output. In this paper, a 12-kW photovoltaic (PV) system on the rooftop of a house in Isfahan was studied using the System Advisor Model (SAM). The most significant research contribution of the proposed paper is to predict the output power of a solar system with the lowest possible error. According to the simulation results, by using the MLR model, the predicted power has an error of 6 % with the actual power, which is a very good estimation. In addition, this system meets each household's energy needs plus an additional 8430 kWh per year, resulting in being paid by utility companies, a fewer number of outages, and lower air pollution levels.

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Section: Pv Systemmentioning

confidence: 99%

Techno-Economic Analysis of a 12-kW Photovoltaic System Using an Efficient Multiple Linear Regression Model Prediction

Pourmaleki

Agutu²,

Rezaei

et al. 2022

IJRCS

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“…Meanwhile, voltage and current transient's dv/dt and di/dt will be limited with MLI. 18 In Figure 2, if a fault occurs in one of the three legs, the fourth leg will be replaced and post-fault inverter will be the same as the pre-fault inverter. As a result, the state-space model and the transfer function do not change and will be the same as pre-fault three-phase inverter.…”

Section: Stability Analysis Of the Ft-mli Gpumentioning

confidence: 99%

Design and implementation of ground power unit using a three‐level fault‐tolerant neutral point clamped inverter

Abbaspour

Kojabadi

2022

Circuit Theory & Apps

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Due to the widespread use of static power converters in various industries and sensitive applications such as ground power units (GPUs), it is essential that the inverters have high reliability. A failure in the inverters can cause undesirable consequences such as low performance, shutting down the system, and losing the stability of the entire system. On the other hand, in some critical industrial processes with high standstill costs and safety‐aspect concerns, such as aircraft, high reliability, and survivability of the system, are very important. Therefore, the use of fault‐tolerant (FT) inverters is inevitable in such applications. In this paper, using a three‐level fault‐tolerant neutral point clamped (FT‐NPC) inverter, the reliability of the GPUs is increased and it results in higher availability and continuous system performance. Furthermore, a simple automatic fault detection (FD) algorithm is presented by taking the inverter pole voltage as a FD parameter. The inverter is analyzed for open‐circuit fault in the switches, and the reliability of the FT‐NPC inverter is compared with the classic inverter. The simulation and experimental results of the 2‐kVA converter prototype are presented to confirm the FT inverter performance and the proposed method.

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“…However, we see that most of the grid-connected solar energy production plants are afected by several factors, including photovoltaic panels, inverters, meteorological conditions, and dust accumulation on photovoltaic panels. Terefore, it becomes necessary to analyze and forecast the PV generation capacity [3,4].…”

Section: Introductionmentioning

confidence: 99%

Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy

Khelifi

Guermoui

Rabehi

et al. 2023

International Transactions on Electrical Energy Systems

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This paper discusses the efficient implementation of a new hybrid approach to forecasting short-term PV power production for four different PV plants in Algeria. The developed model incorporates a time-varying filter-empirical mode decomposition (TVF-EMD) and an extreme learning machine (ELM) as an essence regression. The TVF-EMD technique is used to deal with the fluctuation of PV power data by splitting it into a series of more stable and constant subseries. The specified set of features (intrinsic mode functions (IMFs)) is utilized for training and improving our forecasting extreme learning machine model. The adjusted ELM model is used to evaluate prediction efficiency. The suggested TVF-EMD-ELM model is assessed and verified in various Algerian locations with varying climate conditions. In all examined regions, the TVF-EMD-ELM model generates less than 4% error in terms of normalized root mean square error (nRMSE).

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A Review on Multilevel Inverter Topologies

Cited by 31 publications

References 42 publications

Techno-Economic Analysis of a 12-kW Photovoltaic System Using an Efficient Multiple Linear Regression Model Prediction

Techno-Economic Analysis of a 12-kW Photovoltaic System Using an Efficient Multiple Linear Regression Model Prediction

Design and implementation of ground power unit using a three‐level fault‐tolerant neutral point clamped inverter

Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy

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