A New Attempt to Optimize Optimal Power Flow Based Transmission Losses Using Genetic Algorithm

Author

Rahul, Jinendra ; Sharma, Yagvalkya ; Birla, Dinesh

Author_Institution

Electr. Eng. Dept., Univ. Coll. of Eng., Kota, India

fYear

2012

fDate

3-5 Nov. 2012

Firstpage

566

Lastpage

570

Abstract

This paper presents a new method using GADS Toolbox in MATLAB (A Genetic Algorithm Approach) to find the optimal solution of optimal power flow based transmission losses. Optimal power flow (OPF) is a key area of concern in electric industries. The basic OPF solution is obtained with objective function as production cost minimization while satisfying a set of system operating constraints. For reactive power optimization the OPF problem is formulated as minimization of system active power losses and improvement in voltage stability of the system. In this paper GA based optimal power flow solution is presented for IEEE 30-bus test power system with objective as transmission losses minimization and optimal results by GA are also compared with solution obtained by using Particle Swarm Optimization Technique.

Keywords

cost reduction; electricity supply industry; genetic algorithms; optimal control; particle swarm optimisation; power system stability; power transmission control; reactive power control; voltage control; GADS Toolbox; IEEE 30-bus test power system; MATLAB; OPF problem; electric industry; genetic algorithm; objective function; optimal power flow based transmission loss optimization; particle swarm optimization technique; production cost minimization; reactive power optimization; system active power loss minimization; system operating constraint; system voltage stability; Biological cells; Educational institutions; Genetic algorithms; Linear programming; Load flow; Propagation losses; Reactive power; Genetic algorithm (GA); Particle Swarm Optimization (PSO); optimal power flow (OPF);

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on

Conference_Location

Mathura

Print_ISBN

978-1-4673-2981-1

Type

conf

DOI

10.1109/CICN.2012.212

Filename

6375177