Distribution network reconfiguration using time-varying acceleration coefficient assisted binary particle swarm optimization

Hizarci H., Demirel O., Türkay B.

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, cilt.35, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.jestch.2022.101230
  • Dergi Adı: ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, INSPEC, Directory of Open Access Journals
  • Anahtar Kelimeler: Radial network, Distribution network reconfiguration, Power loss, Acceleration coefficient, Particle swarm optimization, UNBALANCED DISTRIBUTION-SYSTEMS, LOSS REDUCTION, ALGORITHM, PLACEMENT
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

The particle swarm optimization (PSO) algorithm is widely used to solve a variety of complicated engi-neering problems. However, PSO may suffer from an effective balance between local and global search ability in the solution search process. This study proposes a new acceleration coefficient for the PSO algo-rithm to overcome this issue. The proposed coefficient is implemented on the distribution network recon-figuration (DNR) problem to reduce power loss. The lowest power loss is obtained while problem constraints (maintain radial structure, voltage limits, and power flow balance) are satisfied with the pro-posed method. The validity of the proposed acceleration coefficient-based binary particle swarm opti-mization (BPSO) in handling the DNR problem is examined through simulation studies on IEEE 33-bus, P&G 69-bus, and 84-bus Taiwan Power Company (TPC) practical distribution networks. Furthermore, the DNR problem is evaluated regarding energy cost and environmental issues. Finally, the average com-putational times of the different acceleration coefficient-based PSO methods are compared. The solution speed of the proposed acceleration coefficient-based method is faster than the other methods in the DNR problem.(c) 2022 Karabuk University. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).