DocumentCode :
579919
Title :
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
Link To Document :
بازگشت