A new approach to detecting and classifying multiple faults in IEEE 14-bus system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.208698

Keywords:

simultaneous faults, artificial neural network, fault detection, classification, two-port network

Abstract

Faults in the power system generally provide considerable changes in its quantities such as under or over-power, over-current, current or power direction, frequency, impedance, and power factor. Reading data related to both currents and voltages is usually involved for detecting and situating the fault on the transmission network. These days, any outage of power in a power grid leads to heavy financial losses for commercial, industrial, and domestic consumers. Random and irregular faults in transmission grids contribute significantly to events of power outages. A significant contribution of this study is a new technique for simulating a multiple simultaneous faults model. The recommended approach is an effective technique for detection, classification and localization of faults in transmission networks of electric power. To attain this objective, a training procedure and a neural network simulation were carried out using m-file in MATLAB. A virtual bus has been proposed to analyze the fault which happens on the transmission line and bus. This technique has been applied on the IEEE 14 bus and multiple simultaneous faults have been mentioned in this study. The fault situations are simulated in m-files through the two-port network performance method, which is a highly enhanced scheme in comparison to the existing methods. The results have been arrived upon by subjecting different buses to varying types of fault. The results provide comprehensive information regarding fault current, post-fault voltages, and fault MVA on all the buses. The values at the bus for voltage, power consumption, and phase angles were specified. As suggested by the findings of the simulation, the proposed methodology is an effective technique for detection, classification and localization of faults

Supporting Agencies

  • Authors would like to thank University of Mosul
  • College of Engineering
  • Electrical Department
  • for the support given during this work.

Author Biographies

Ibrahim Ismael Alnaib, Collage of Engineering University of Mosul Al-Majmoaa str., Mosul, Iraq, 41002

Master of Electrical Engineering, Power and Machines, Assistance Lecturer

Department of Electrical Engineering

Omar Sh. Alyozbaky, Collage of Engineering University of Mosul Al-Majmoaa str., Mosul, Iraq, 41002

Doctor of Electrical Engineering, Power and Machines, Lecture

Department of Electrical Engineering

Ali Abbawi, Collage of Engineering University of Mosul Al-Majmoaa str., Mosul, Iraq, 41002

Master of Electrical Engineering, Power and Machines, Assistance Lecturer

Department of Electrical Engineering

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Published

2020-10-31

How to Cite

Alnaib, I. I., Alyozbaky, O. S., & Abbawi, A. (2020). A new approach to detecting and classifying multiple faults in IEEE 14-bus system. Eastern-European Journal of Enterprise Technologies, 5(8 (107), 6–16. https://doi.org/10.15587/1729-4061.2020.208698

Issue

Vol. 5 No. 8 (107) (2020): Energy-saving technologies and equipment

Section

Energy-saving technologies and equipment

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Copyright (c) 2020 Ibrahim Ismael Alnaib, Omar Sh. Alyozbaky, Ali Abbawi

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