Differential evolution particle swarm optimization algorithm for reduction of network loss and voltage instability

This paper introduces a differential evolution particle swarm optimization (DEPSO) method for dealing with optimal reactive power dispatch aiming at power loss reduction and voltage stability improvement. The optimum reactive power dispatch of power systems is to allocate reactive power control vari...

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Bibliographic Details
Published in:2009 World Congress on Nature and Biologically Inspired Computing pp. 391 - 396
Main Authors: Vaisakh, K., Sridhar, M., Linga Murthy, K.S.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2009
Subjects:
differential evolution
Particle swarm optimization
Power generation
power loss reduction
Power system control
Power system stability
Power systems
Reactive power
Reactive power control
reactive power dispatch
System testing
Transformers
Voltage
voltage stability L-index
ISBN:1424450535, 9781424450534
Online Access:Get full text
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Summary:This paper introduces a differential evolution particle swarm optimization (DEPSO) method for dealing with optimal reactive power dispatch aiming at power loss reduction and voltage stability improvement. The optimum reactive power dispatch of power systems is to allocate reactive power control variables so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The proposed method determines the optimum settings of reactive power control variables such as, generator excitation, tap changing transformers, and shunt compensation that reduces the power loss, while maintaining the voltage stability. IEEE-30 bus test system from the literature is used to exemplify the performance of the proposed method. Numerical results show that the proposed method is better than the other methods reported in the literature.
ISBN:1424450535
9781424450534
DOI:10.1109/NABIC.2009.5393308