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

Year 2018, Volume: 31 Issue: 3, 831 - 844, 01.09.2018

Ozan Akdağ , Fatih Okumuş , Adnan Fatih Kocamaz , Celaleddin Yeroğlu

Abstract

This paper present an effective optimization algorithm
for Optimal Power Flow (OPF) problem in electrical power systems. Fractional
Order Darwinian Particle Swarm Optimization (FODPSO) algorithm is modified with
constraint threshold limitation mechanism to solve OPF problem. Results are
tested and compared with Vector PSO (VPSO) and some other optimization
algorithms in the literature. FODPSO and VPSO algorithms are applied to obtain
optimal settings of control variables in power system.  The algorithms are used to tune control parameters
of real time 154kV east Anatolian transmission system to reduce power loses and
to supply uninterrupted power flow. The results are applied to virtual model of
the transmission system, obtained by DigSilent simulation software, to test
without taking any risk that may occur in real time systems. Thus, optimal
parameter settings are recommended for real time transmission system. Then, the
proposed algorithm is applied to IEEE 14 bus-bar test system to show the
effectiveness and results are compared with the other algorithms in literature.

Keywords

optimization, Power system, Virtual model, Optimal power flow

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