DocumentCode :
2536021
Title :
Optimal reactive power allocation using PSO-DV hybrid algorithm
Author :
Vaisakh, K. ; Rao, P. Kanta
Author_Institution :
Dept. of Electr. Eng., Andhra Univ., Visakhapatnam
Volume :
1
fYear :
2008
fDate :
11-13 Dec. 2008
Firstpage :
246
Lastpage :
251
Abstract :
The reactive power allocation aspect has received considerable attention in present day power system operation and control. At heavy/light load periods, voltage control is provided by the controllable reactive sources, which are scattered throughout the transmission network, function in co-ordination. Reactive power dispatch problem can be formulated as a nonlinear constrained optimization problem. This paper presents a Particle Swarm with Differentially perturbed Velocity (PSO-DV) hybrid algorithm for optimal reactive power dispatch and voltage control of power systems. The PSO-DV is applied for optimal power system reactive power dispatch on an IEEE 30-bus system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss of the power system. The simulation results show the effectiveness and robustness of the proposed approach.
Keywords :
load dispatching; particle swarm optimisation; power system control; reactive power; voltage control; IEEE 30-bus system; PSO-DV hybrid algorithm; nonlinear constrained optimization problem; optimal reactive power allocation; particle swarm with differentially perturbed velocity; power system control; power system operation; reactive power dispatch problem; transmission network; voltage control; Control systems; Hybrid power systems; Light scattering; Lighting control; Power system control; Power system simulation; Power systems; Reactive power; Reactive power control; Voltage control; DE; PSO; Reactive power dispatch; genetic algorithm adaptive search; global optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference, 2008. INDICON 2008. Annual IEEE
Conference_Location :
Kanpur
Print_ISBN :
978-1-4244-3825-9
Electronic_ISBN :
978-1-4244-2747-5
Type :
conf
DOI :
10.1109/INDCON.2008.4768834
Filename :
4768834
Link To Document :
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