A Symmetrical-Asymmetrical Fault Characteristics Analysis within Cogeneration Power Plant in Izmir, Turkey: An Experimental Assessment

Oztura, Hacer Sekerci; Polat, Sezai

doi:10.35378/gujs.770814

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…In the paper [32], the authors analyzed symmetric and unsymmetric faults in power systems and artificially injected the short circuit fault into the system to check the behavior of the system under faulty conditions. They analyze many types of un-symmetric faults such as a single line-to-ground fault, double line-to-ground fault, and line-to-line fault.…”

Section: A Literature Reviewmentioning

confidence: 99%

Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter Using Artificial Neural Networks

Ahmad,

Alsuwian,

Amin

et al. 2023

IEEE Access

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The Matrix converters (MCs) are widely used in a large number of applications such as Aircraft, Submarines, and AC drives. In these applications, many chances of occurrence of a critical fault that leads to a halt of the system, and due to the failure of power electric switches, the MC operations can be compromised and there is a fear of burning the components caused by the whole system shutdown. Therefore, a Fault-Tolerant Control System (FTCS) is extremely necessary for the continued operations of the Three-Phase Matrix Converter (TPMC) to improve the reliability and productivity of the system under faulty conditions. In this paper, an advanced FTCS is proposed based on detection, and dual hardware redundancy. Two types of faults are injected into the system to observe the performance of the proposed system: internal open circuit faults on switches and external short circuit faults at the load side. A Fault Detection and Isolation (FDI) unit is used to detect and isolate the faulty switches using Artificial Neural Networks (ANN), and dual hardware redundancy in the switches has been proposed for fault tolerance. In case of external fault, a load-side fault detector is implemented using ANN. The simulation results in MATLAB/Simulink environment show the accurate and stable working of TPMC under faulty conditions, and hardware-in-the-loop is implemented with STM32-Nucleo-F103RB board to verify open circuit fault results. The proposed work dual redundant FTC with FDI unit offers an excellent solution for the continued performance of TPMC which enhances the reliability of the system.INDEX TERMS Redundant Switches, fault-tolerant control, fault detection, artificial neural networks, insulated gate bipolar transistor.

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Section: A Literature Reviewmentioning

confidence: 99%

Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter Using Artificial Neural Networks

Ahmad,

Alsuwian,

Amin

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

A Symmetrical-Asymmetrical Fault Characteristics Analysis within Cogeneration Power Plant in Izmir, Turkey: An Experimental Assessment

Abstract: Highlights• Modeling of cogeneration power plant by using PSS/Sincal • Comparison of real data results and simulation results • Short circuit analysis with simulation software in power systems

Cited by 1 publication

References 51 publications

Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter Using Artificial Neural Networks

Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter Using Artificial Neural Networks

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