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Related Experiment Video

Updated: Nov 3, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

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Optimum Placement of Distribution Generation Units in Power System with Fault Current Limiters Using Improved Coyote

Hisham Alghamdi1

  • 1Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudia Arabia.

Entropy (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

Integrating distributed generation (DG) with fault current limiters (FCLs) optimally reduces power losses and fault currents in electrical grids. This approach enhances power system stability and efficiency under high demand.

Keywords:
distribution generation unitsfault current limitersimproved coyote optimize algorithmmain power grids

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Area of Science:

  • Electrical Engineering
  • Power Systems Analysis

Background:

  • Power systems face increased load and power losses due to rising demand.
  • Distributed Generation (DG) integration helps reduce system load but can increase fault currents beyond breaker ratings.

Purpose of the Study:

  • To determine the optimal placement of DG units and Fault Current Limiters (FCLs) in distribution systems.
  • To minimize power losses and fault current levels in electrical grids.

Main Methods:

  • Utilized the Improved Coyote Optimize Algorithm (ICOA) for optimal placement.
  • Employed Electrical Transient Analyzer Program (ETAP) for system analysis.
  • Applied a fuzzy-based multi-objective mechanism to enhance distribution system efficiency.

Main Results:

  • The proposed method effectively reduced power losses.
  • Fault levels were significantly decreased to acceptable levels.
  • Optimal placement strategies were validated on IEEE 21-bus and 28-bus systems.

Conclusions:

  • Optimal integration of DG units with FCLs is crucial for managing fault currents.
  • The ICOA and ETAP-based approach provides an effective solution for enhancing power system performance.
  • The fuzzy-based mechanism contributes to improved overall distribution system efficiency.