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Swarm Intelligence for Voltage Stability Analysis Considering Voltage-VAR Compensation

Ajay-D-Vimal Raj, P., and Senthilkumar, S., and Prasadh Kannah, S., and Sudhakaran, M., and Palanivelu, T.G. , (2008) Swarm Intelligence for Voltage Stability Analysis Considering Voltage-VAR Compensation. Elektrika Journal of Electrical Engineering, 10 (1 ). pp. 43-48. ISSN 01284428

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Official URL: http://fke.utm.my/elektrika/june08/paper7june08.pdf

Affiliations

Pondicherry University, Pondicherry Engineering College, Dept. of Electrical and Electronics Engineering
Pondicherry University, Sri Manakula Vinayagar Engineering College, Dept. of Electrical and Electronics Engineering
Pondicherry University, Pondicherry Engineering College, Dept. of Electronics and Communication Engineering

Abstract

A new algorithm that attempts to minimize the real power loss, with a view to improve the voltage stability of the
system is proposed. This Particle Swarm Optimization (PSO) based algorithm uses optimum settings of Automatic Voltage
Regulator (AVR), On-Line Tap Changer (OLTC) and requires minimum number of Reactive Power Compensation Equipment (RPCE). This swarm intelligence technique differs in the sense it endears to identify the globally appropriate
values in its bid to offer the best possible voltage profile. The approach is tested with standard IEEE 14, IEEE 30, IEEE 57, IEEE 118 bus systems and real time Indian utility systems and their results were found to be encouraging. This technique converges faster than the existing AI based methods and hence claims to be superior. The results also include a comparative scenario of the real power loss obtained using conventional, direct search nonlinear optimization Genetic Algorithm (GA)and PSO methods.

Item Type:Journal
Keywords:Genetic algorithm, Optimum settings, Particle swarm optimization, Voltage stability.
Subjects:T Technology, Engineering
ID Code:2441

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