DocumentCode :
135018
Title :
Utility of PSO for power loss minimization in a power system network
Author :
Kumar, Ravindra ; Agarwal, Ujjwal ; Sahu, Anil Kumar ; Anand, Rangachari
Author_Institution :
Dept. of Electr. Eng., Indian Sch. of Mines, Dhanbad, India
fYear :
2014
fDate :
1-2 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a Particle Swarm Optimization (PSO) based algorithm to optimize the power flow in a power system network. Transmission loss function has been used as the problem objective. Various constraints participating in the problem formulation are voltage magnitude constraint, tap setting value constraint and nodal reactive capacity constraint. Load flow studies using standard Newton-raphson method and incorporation of optimization method using PSO have been done for standard IEEE 14-bus system and IEEE 30-bus system. Simulations are carried out using MATLAB. Optimal strings for bus parameters are obtained such that the transmission losses are minimized. Also the effect of variation of number of particles along with the changing number of iterations is compared for both the systems. Effect of constriction factor on the rate of convergence has been shown graphically.
Keywords :
Newton-Raphson method; load flow; particle swarm optimisation; power transmission; IEEE 14-bus system; IEEE 30-bus system; MATLAB simulation; Newton-Raphson method; PSO; bus parameters; constriction factor; nodal reactive capacity constraint; particle swarm optimization; power flow; power loss minimization; power system network; tap setting value constraint; transmission loss function; voltage magnitude constraint; Equations; Load flow; Mathematical model; Particle swarm optimization; Sociology; Statistics; MATLAB; Newton-Raphson method; Particle Swarm Optimization (PSO); Power Loss Minimization; load flow study;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Control, Energy and Systems (ACES), 2014 First International Conference on
Conference_Location :
Hooghy
Print_ISBN :
978-1-4799-3893-3
Type :
conf
DOI :
10.1109/ACES.2014.6808011
Filename :
6808011
Link To Document :
بازگشت