Title of article
Reactive power loss optimization for an IEEE 14-bus power system using various algorithms
Author/Authors
nachimuthu, d.s. department of electrical and electronics engineering,anna university regional centre,coimbatore, India , basha, r.j. department of electrical and electronics engineering,anna university regional centre,coimbatore, India
From page
1737
To page
1744
Abstract
Optimization techniques play vital role in many problems. Many optimization algorithms have been proposed in past decades. In this paper various optimization techniques like Particle Swarm Optimization,Modified Particle Swarm Optimization,Artificial Bee Colony Algorithm,Fish School Search Algorithm and Gravitational Search Algorithm are compared and tested in an IEEE-14 Bus power system. By using these five optimization techniques,the power losses like active power and reactive power are reduced drastically. By reducing the losses,the voltage profile improvement and voltage stability enhancement can be maintained. Also this paper shows the better optimization technique which suits the power system to maintain stability by reducing power losses. The results are tabulated to show how much losses have been reduced from the determined actual losses in the power system.
Keywords
Artificial Bee Colony (ABC) algorithm , Fish School Search (FSS) algorithm and Gravitational Search Algorithm (GSA) , Modified Particle Swarm Optimization (MPSO) , Particle Swarm Optimization (PSO)
Journal title
Electrica
Journal title
Electrica
Record number
2719462
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