Journal of Advanced Defense Science & Technology

Journal of Advanced Defense Science & Technology

Optimal Placement and Sizing for Fault Current Limiters in the Transmission Network Using the Hybrid Optimization Algorithm of Particle Swarm and Gravity Search

Document Type : -

Authors
reza eslami 1
Hamid Alanizadeh 2
1 Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran
2 student of electrical engineering faculty of Tabriz Sahand University of Technology
Abstract
Considering the high importance of the electricity industry as the infrastructure of other infrastructures of the country, increasing the reliability of the correct operation of the protection programs in the electricity transmission network is considered as one of the measures that can be mentioned in the direction of passive defense. One of these methods is the use of fault current limiters (FCL) in the transmission network. In power systems, the technical and economic benefits of using FCL depend on the type, number, installation locations and optimal parameters of limiters. In the present study, the number, location and impedance of FCLs in the network are determined to achieve various goals such as reducing the short circuit level, then, the minimum number of limiters along with the installation locations and the optimal parameter of each limiter are calculated in two steps using a meta-heuristic algorithm, called the Hybrid Optimization algorithm (PSOGSA) (Combination of the Particle Swarm Optimization Algorithm (PSO) and Gravitational Search Algorithm (GSA)). In the following, the proposed meta-heuristic algorithm is compared with genetic algorithms, PSO and GSA. According to the results of the numerical studies conducted to compare the proposed algorithm with GA, PSO and GSA algorithms, the proposed hybrid algorithm instead of installing more fault current limiters, by increasing its impedance optimally while reducing the total cost of installing this equipment; has better performance in terms of reducing the short circuit level of buses and it converges to the optimal point faster.
Keywords
Fault Current Limiter
Particle Swarm Optimization Algorithm
Gravitational Search Algorithm
Short Circuit Level Reduction
GSA
PSO
and GA Optimization Algorithms
Subjects

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Journal of Advanced Defense Science & Technology
Volume 13, Issue 2 - Serial Number 48
Summer
Autumn 2022
Pages 113-124

  • Receive Date 18 December 2021
  • Revise Date 16 June 2022
  • Accept Date 15 July 2022
  • Publish Date 21 September 2022