Fractional Order Darwinian PSO with Constraint Threshold for Load Flow Optimization of Energy Transmission System

AKDAG O., Okumus F., KOCAMAZ A. F., YEROĞLU C.

GAZI UNIVERSITY JOURNAL OF SCIENCE, cilt.31, sa.3, ss.831-844, 2018 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 3
  • Basım Tarihi: 2018
  • Dergi Adı: GAZI UNIVERSITY JOURNAL OF SCIENCE
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.831-844
  • Anahtar Kelimeler: FODPSO, Optimization, Optimal power flow, Power system, Virtual model, PARTICLE SWARM OPTIMIZATION, OPTIMAL POWER-FLOW, BEE COLONY ALGORITHM, DESIGN
  • İnönü Üniversitesi Adresli: Evet

Özet

This paper present an effective optimization algorithm for Optimal Power Flow (OPF) in electrical power systems. Fractional Order Darwinian Particle Swarm Optimization (FODPSO) algorithm is modified with constraint threshold limitation mechanism to acheive OPF. Results of the proposed method are compared on a part of 13 bus-bar 154 kV Eastern Anatolia Transmission System and on a 14 bus-bar IEEE test system. In addition, the transmission system is modeled by DigSilent software to analyse without taking any risk that may occur in real systems. Thus, optimal parameter settings can be recommended for real time transmission system.