Identification of fault location in power distribution system with distributed generation using linear optimization technique

Authors

  • Nada Jamil Al-Ainiya PhD Student – Eng, Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University
  • Fouad Salha Assistance Professor - Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University.
  • Mustafa Al-Hazouri Professor- Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University.

Keywords:

Electrical Distribution Networks, Distributed generation, Location of Fault, Fault Indicators, Optimization Problems, CPLEX Environment

Abstract

proliferation of distributed generation units in electrical networks has led to the appearance of many problems in the electrical distribution system, among these problems is the inability to detect and determine the location of faults in distribution networks, especially in networks with a large number of nodes, as a result of several factors such as the flow of electrical power in more than one direction in the network.

This article presents a method for determining the locations of faults in electrical distribution networks with distributed generation units by relying on signals sent to the coordination center by special high-tech devices called Fault Indicators (FI), using an algorithm with linear optimization, following target function and specific constraints to find the locations of faults, even when some of received signals from some of the indicators are false for some reasons.

The suggested algorithm was applied on a reference network IEEE-69BUS containing two distributed generation units in order to find the locations of faults, one or more faults, with the input of false signals for some failure indicators, and the results were very good.

The logarithm was written in the JAVA language in the environment of ECLIPS using the CPLEX optimization libraries.

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Author Biographies

  • Nada Jamil Al-Ainiya, PhD Student – Eng, Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University

    PhD Student – Eng,  Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University

  • Fouad Salha, Assistance Professor - Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University.

    Assistance Professor - Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University.

  • Mustafa Al-Hazouri, Professor- Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University.

    Professor- Electrical Power Engineering Department - Faculty of Mechanical and Electrical Engineering - Damascus University.

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Published

2025-08-26

Issue

Vol. 41 No. 3 (2025): Damascus University Journal for engineering sciences

Section

المقالات

How to Cite

Identification of fault location in power distribution system with distributed generation using linear optimization technique. (2025). Damascus University Journal for Engineering Sciences, 41(3). https://journal.damascusuniversity.edu.sy/index.php/engj/article/view/7551