Fault‐tolerant control of inverter for the integration of solar PV under abnormal conditions

Moradmand, Anahita; Dorostian, Mehrdad; Ramezani, Amin; Sajadi, Amirhossein; Shafai, B.

doi:10.1049/joe.2019.1280

Cited by 14 publications

(5 citation statements)

References 30 publications

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“…Grateful to have switching TS fuzzy model for complicated non-differentiable nonlinear systems, potential future researches may be directed to investigate the issues such as optimality, robustness, performance enhancement, fault tolerant [39,40], finite-time control [41], event-triggered adaptive fuzzy control [42], fuzzy tracking control [43], robust fault detection [44], to extend the ideas to stochastic nonlinear systems [45] and network system and so on for MIMO systems with non-differentiable operating points. Moreover, on one hand, the analysis and design conditions have been derived in terms of linear matrix inequalities (LMIs) [46].…”

Section: Discussionmentioning

confidence: 99%

Fuzzy modeling and control of a class of non‐differentiable multi‐input multi‐output nonlinear systems

Zare

Shasadeghi

Izadian

et al. 2021

Asian Journal of Control

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This paper presents a new approach in modeling and control of multi‐input multi‐output (MIMO) systems that have non‐differentiable operating points. A circle criterion is introduced at the non‐differentiable operating points to divide the entire operating region into two parts. Takagi‐Sugeno fuzzy models are developed in each part, and a switching framework is introduced to model the operating region. Accordingly, a sliding mode controller (SMC) is developed. The proposed modeling and controller are implemented on the benchmark quadruple tank process (QTP). It is demonstrated that the proposed modeling and controller design provides simplicity and universality in a set of nonlinear systems; it is robust with respect to various internal and external disturbances and model uncertainties which allows for accurate regulation and tracking; and it converges in finite time, is capable of controlling nonlinear systems with coupling dynamic, and enables fuzzy modeling of continuous‐time systems without imposing differentiability.

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Section: Discussionmentioning

confidence: 99%

Fuzzy modeling and control of a class of non‐differentiable multi‐input multi‐output nonlinear systems

Zare

Shasadeghi

Izadian

et al. 2021

Asian Journal of Control

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“…Fault diagnostic techniques for inverters can be divided into model-based and data-driven methods. The model-based methods are based on the analytical model of the converter [29]. They usually need to consider the dynamic properties and operation mechanism of the system, then establish an accurate mathematical model [30].…”

Section: Fault Diagnosismentioning

confidence: 99%

Fault Management Techniques to Enhance the Reliability of Power Electronic Converters: An Overview

et al. 2023

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The reliability of power electronic converters is a major concern in industrial applications because of using prone-to-failure elements such as high-power semiconductor devices and electronic capacitors. Hence, designing fault-tolerant inverters has been of great interest among researchers in both academia and industry over the last decade. Among the three stages of fault management, compensating the fault is the most important and challenging part. The techniques for fault compensation can be classified into three groups: hardware redundancy methods which use extra switches, legs, or modules to replace the faulty parts directly or indirectly, switching states redundancy methods which are about omitting and replacing the impossible switching states, and unbalance compensation including the techniques to compensate for the unbalances in the system caused by a fault. In this paper, an overview of fault-tolerant inverters is presented. A classification of fault-tolerant inverters is demonstrated and major cases in each of its categories are explained.

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“…Therefore, an MLI is recognized as a substitute in high power and medium voltage conditions. Furthermore, as a cost-effective solution, MLI enhances power ratings and permits low power applications in renewable energy sources [9].…”

Section: Motivation and Incitementmentioning

confidence: 99%

Robust Modified Flower Pollination Algorithm for Power Quality Enhancement in an Autonomous 31-Level Cascaded H-Bridge Photovoltaic Inverter with Partial Shading Conditions

Sahu¹,

Nayak

Choudhury

2022

IJRITCC

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The effect of global warming and the scarcity of fossil fuels has created an enormous problem in today’s era. To overcome such a problem, renewable energy sources, particularly solar energy, play a crucial role in meeting the developing need for power. However, the design of the Solar Photovoltaic (PV) system is interrupted by various factors such as the effect of temperature, isolation, aging, partial shading conditions, etc. Among all the factors mentioned, partial shading results in the significant diminution of power. To address this shading effect and enhance the flexibility of the PV system in terms of better utilization and energy extraction, a 31-Level Cascaded H-Bridge Multilevel Inverter (CHB-MLI) has been implemented to the autonomous PV system comprising of Maximum Power Point Tracking (MPPT) controller, boost converter and variable loads in MATLAB/Simulink architecture. To track maximum power from PV during varying irradiance and temperature and to further improve the system performance in terms of better convergence speed, an MPPT system with a Modified Flower Pollination Algorithm (MFPA) based PID controller has been proposed in this paper. To justify the suggested approach, the is-landed PV system is led to variation in irradiance and load. A detailed comparison of the proposed MFPA technique with classical control techniques has been meticulously discussed. The results obtained indicate that the suggested MFPA tuned PID with MLI outperforms the conventional methods in better system stability, reduced harmonics, and enhanced capacity to track maximum power from the PV system. In addition to this, the Total Harmonic Distortion (THD) using Fast Fourier Transform (FFT) has been found to verify IEEE-1547 power quality constraints. The values are found to be well within limits, thus justifying its real-time applications.

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Fault‐tolerant control of inverter for the integration of solar PV under abnormal conditions

Cited by 14 publications

References 30 publications

Fuzzy modeling and control of a class of non‐differentiable multi‐input multi‐output nonlinear systems

Fuzzy modeling and control of a class of non‐differentiable multi‐input multi‐output nonlinear systems

Fault Management Techniques to Enhance the Reliability of Power Electronic Converters: An Overview

Robust Modified Flower Pollination Algorithm for Power Quality Enhancement in an Autonomous 31-Level Cascaded H-Bridge Photovoltaic Inverter with Partial Shading Conditions

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