Performance Evaluation of Various Z-Source Inverter Topologies for PV Applications Using AI-Based MPPT Techniques-Reference-Cited by-同舟云学术

Performance Evaluation of Various Z-Source Inverter Topologies for PV Applications Using AI-Based MPPT Techniques

Published:2023-09-27 Issue: Volume:2023 Page:1-16
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:International Transactions on Electrical Energy Systems

Author:

Kalaiarasi N.¹^ORCID,Sivapriya A.¹^ORCID,Vishnuram Pradeep¹^ORCID,Pushkarna Mukesh²,Bajaj Mohit³⁴⁵,Kotb Hossam⁶,Alphonse Sadam⁷^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu 603203, India

2. Department of Electrical Engineering, GLA University, Mathura 281406, India

3. Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India

4. Graphic Era Hill University, Dehradun 248002, India

5. Applied Science Research Center, Applied Science Private University, Amman 11937, Jordan

6. Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, Egypt

7. UFD PAI, Laboratory of Analysis of Simulation and Testing, University of Ngaoundere, P.O. Box 455, Ngaoundere, Cameroon

Abstract

Recent research has been focussed on renewable energy due to the rising need for electrical energy. Renewable energy has a low environmental impact compared to other energy sources. As a result, renewable energy sources (RESs) are the best option for generating electricity. Solar photovoltaic is one of the largest renewable power generators. Solar photovoltaic (PV) is connected to the load via power electronic converters. Most PV installations need a two-stage conversion process consisting of a boost converter to increase the load voltage and an AC-to-DC voltage source inverter to power the load. The Z-source inverter (ZSI) can confront the shortcomings of VSI and two-stage conversions. ZSI connects the PV system to the load and is used to increase the system’s performance. This paper discusses the performance of various topologies of ZSI, such as traditional Z-source inverters (XZSIs); for integrating a PV source into a load, switched inductor Z-source inverters (SIZSIs) and transient Z-source inverters (TZSIs) are used. Also, artificial neural networks (ANNs), fuzzy logic controller (FLC), and adaptive neuro-fuzzy inference system (ANFIS)-based MPPT techniques are discussed for obtaining maximum power from PV panels. Based on the maximum power, the shoot-through duty ratio has been adjusted.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

http://downloads.hindawi.com/journals/itees/2023/1134633.pdf

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