Multilevel Inverter for Grid-Connected Photovoltaic Systems with Active Filtering Function

Oliveira, K. C.; Afonso, João L.; Cavalcanti, Marcelo C.

doi:10.1007/978-3-642-37291-9_31

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…GEPE is mostly focused on the application of power electronics in power systems. Their main research evolves around the topics of power quality monitoring and conditioners, the interface and integration between distributed renewable energies, and the electricity grid as well as battery ES systems and EM …”

Section: Smart Grid Labs Descriptionmentioning

confidence: 99%

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Smart grid lab research in Europe and beyond

et al. 2019

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Summary In this survey, the objective is to identify current trends in the smart grid research by exploring the work carried out in numerous smart grid labs worldwide. For this purpose, a large number of smart grid labs are identified, and a short description of their activities is given. Fifty‐eight out of the 75 identified labs are located in Europe. Smart grid research is divided into categories, which represent popular topics of research in the field. The predominant category of research is identified to be generation and distributed energy resources (Gen & DER) with 91% of the labs conducting research in this field. Aggregated information is presented regarding the labs, providing a clear idea of the topics of research carried out. Connections between different topics of research are presented, which reveal synergies or collaboration gaps among various smart grid topics. Grid management and Gen & DER and energy storage and Gen & DER have been found to be popular combinations of topics with 55 labs active in both, respectively. In addition, we provide insights on the entities at which research is targeted and consider the evolution of publications produced by the labs on the different categories. An overall increase in publications was observed over the past 11 years in virtually all categories of smart grid research with the most published scientific papers in Gen & DER and electromobility. Collaborations between research institutes have been analyzed, pointing out existing joint research conducted and the huge potential to explore synergies between institutes further. Our work is useful in order to identify the smart grid areas where research is focusing on. This gives a clear picture of potential synergies between labs for knowledge sharing and enhancing their research efforts.

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Section: Smart Grid Labs Descriptionmentioning

confidence: 99%

“…Additionally, the lab is equipped with a programmable generator, which runs with a real-time simulator. and conditioners, the interface and integration between distributed renewable energies, and the electricity grid as well as battery ES systems and EM 92,93.…”

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confidence: 99%

Smart grid lab research in Europe and beyond

et al. 2019

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“…However, these inverters encounter difficulties such as electromagnetic interference and increased voltage across switches in off-state. Moreover, each stage of voltage transformation in a power electronic system tied to the grid reduces its efficiency [4].…”

Section: Introductionmentioning

confidence: 99%

Quick Search Algorithm-Based Direct Model Predictive Control of Grid-Connected 289-Level Multilevel Inverter

et al. 2023

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Multilevel inverters, known for their low switching loss and suitability for medium- to high-power applications, often create a heavy computational overhead for the controller. This paper addresses the aforementioned limitation by presenting a novel approach to Direct Model Predictive Control (DMPC) for a grid-tied 289-level ladder multilevel inverter (LMLI). The primary objective is to achieve perfect inverter current control without enumeration. The proposed control method provides a single best solution without complete exploration of the search space. This generalized method can be applied to any multilevel inverter (MLI), enabling them to be used in the grid-tied mode without the computational burden due to a large number of switching states. The DMPC of LMLI with 289-level output and corresponding 289 control inputs, utilizes a discrete model to predict the future state of the state variable. In order to alleviate the enumeration burden, virtual sectors on a linear scale are introduced, and a general formula is provided to identify the single best state among the 289 states, reducing the time required to find the best optimal state per sampling period. Moreover, the proposed control scheme is independent of objective evaluation.

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“…PV inverter is considered the heart of the PV system. A power inverter has to be used to interface photovoltaic modules with the electricity grid system which must perform two tasks, inject a sinusoidal current into the grid and ensure that the PV modules operate at the maximum power point (MPP) [7]. The basic topology of PV systems using a cascaded H-bridge multilevel inverter is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Nine-level Cascaded H-Bridge Multilevel Inverter for Photovoltaic Sources Based on Hybrid Active Filter

Ikhwan¹,

Ang²,

Salem³

2022

IJEPS

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Nowadays, a multilevel inverter is one of the important devices that provides a practical approach device in power system industries because of its features which are less switching losses, lower electromagnetic interference, reduced harmonic distortion, higher DC link voltages, and improved output voltage and current waveforms. Among all existed multilevel inverter, cascaded H-bridge multilevel inverter is the most attractive because of the technology development with megawatt power level. So, the cascaded H-bridge multilevel inverter has been tested and proven as a suitable DC/AC device for medium and high power applications such as renewable energy systems, electric vehicles, and motor drive applications. In this paper, the project is focusing on the combination of a nine-level cascaded H-bridge multilevel inverter connected to photovoltaic (PV) sources and a hybrid powerfilter. This project aims to study and to analyze the results of the proposed system. Thebehaviour and the performance of the designed system have shown that the system offered330V peak output AC voltage with an efficiency of 93.96% and a 5% reduction of THD.This project will be carried out only in Matlab/Simulink software.

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Multilevel Inverter for Grid-Connected Photovoltaic Systems with Active Filtering Function

Cited by 6 publications

References 8 publications

Smart grid lab research in Europe and beyond

Smart grid lab research in Europe and beyond

Quick Search Algorithm-Based Direct Model Predictive Control of Grid-Connected 289-Level Multilevel Inverter

Nine-level Cascaded H-Bridge Multilevel Inverter for Photovoltaic Sources Based on Hybrid Active Filter

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