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Enhanced power grid performance through Gorilla Troops Algorithm-guided thyristor controlled series capacitors

Mohammed H Alqahtani1, Sulaiman Z Almutairi1, Ali S Aljumah1

  • 1Department of Electrical Engineering, College of Engineering, Prince Sattam bin Abdulaziz Universi-ty, Al Kharj, 16278, Saudi Arabia.

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Summary
This summary is machine-generated.

The Enhanced Gorilla Troops Algorithm (EGTA) effectively reduces power losses in transmission grids by optimizing Thyristor Controlled Series Capacitor (TCSC) placement. This novel approach outperforms existing methods, showcasing significant efficiency gains in power system engineering.

Keywords:
CEC 2017 benchmark modelsFitness-based crossover strategyGorilla troops algorithmPower gridsTCSC technology

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Area of Science:

  • Electrical Engineering
  • Optimization Algorithms
  • Power Systems

Background:

  • Power grids face challenges in efficiently allocating Thyristor Controlled Series Capacitors (TCSC).
  • Existing optimization algorithms may not fully address the complexities of TCSC placement.
  • The Enhanced Gorilla Troops Algorithm (EGTA) is proposed as a novel bio-inspired optimization technique.

Purpose of the Study:

  • To introduce and evaluate the Enhanced Gorilla Troops Algorithm (EGTA) for TCSC allocation in power grids.
  • To assess the effectiveness of EGTA in reducing power losses and improving system efficiency.
  • To compare EGTA's performance against the original Gorilla Troops Algorithm (GTA) and other contemporary optimizers.

Main Methods:

  • EGTA is inspired by gorilla troop behaviors and enhanced with Tangent Flight Operator (TFO) and Fitness-based Crossover Strategy (FCS).
  • EGTA's performance is initially validated on CEC 2017 single-objective benchmarks.
  • Simulations are conducted on IEEE 30-bus and 57-bus power grids to evaluate TCSC allocation using EGTA.

Main Results:

  • EGTA demonstrates significant reductions in power losses compared to the original GTA across different TCSC quantities.
  • For the 30-bus system, EGTA achieved power loss reductions of 1.659%, 2.545%, and 4.6% for one, two, and three TCSCs, respectively.
  • For the 57-bus system, EGTA achieved power loss reductions of 6.096%, 7.107%, and 4.62% for one, two, and three TCSCs, respectively.

Conclusions:

  • The proposed EGTA is a superior and efficient method for TCSC allocation in transmission power systems.
  • EGTA significantly reduces power losses, outperforming the original GTA and other prevalent optimization techniques.
  • The findings highlight EGTA's potential for enhancing power grid operational efficiency and stability.