Indian Journal of Science and Technology

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An Efficient Swarm Optimization Technique for Stability Analysis in IEEE – 14 Bus System


Affiliations
1 Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India
 

The objective of this study is the Predetermination of stability in power system network by optimization techniques by two different line stability indices. A hybrid optimization technique has derived by modifying Particle Swarm Optimization (PSO) with Hybrid Genetic Algorithm (HGA) and implemented in identifying the power system network stability conditions. Two line stability indices, such as Fast Voltage Stability Index (FVSI) and Apparent Line Power Stability Index (ALPSI) are used as a stability proximator tool. The performance of the proposed hybrid technique is effectively instigated in "IEEE - 14 Bus System" and its outcomes are compared with conventional method.

Keywords

Particle Swarm Optimization (PSO), Hybrid Genetic Algorithm, Voltage Stability, Fast Voltage Stability Index (FVSI), Apparent Line Power Stability Index (ALPSI)
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  • An Efficient Swarm Optimization Technique for Stability Analysis in IEEE – 14 Bus System

Abstract Views: 200  |  PDF Views: 0

Authors

S. Harish Kiran
Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India
Subhransu Sekhar Dash
Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India
C. Subramani
Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India
Somashree Pathy
Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India

Abstract


The objective of this study is the Predetermination of stability in power system network by optimization techniques by two different line stability indices. A hybrid optimization technique has derived by modifying Particle Swarm Optimization (PSO) with Hybrid Genetic Algorithm (HGA) and implemented in identifying the power system network stability conditions. Two line stability indices, such as Fast Voltage Stability Index (FVSI) and Apparent Line Power Stability Index (ALPSI) are used as a stability proximator tool. The performance of the proposed hybrid technique is effectively instigated in "IEEE - 14 Bus System" and its outcomes are compared with conventional method.

Keywords


Particle Swarm Optimization (PSO), Hybrid Genetic Algorithm, Voltage Stability, Fast Voltage Stability Index (FVSI), Apparent Line Power Stability Index (ALPSI)



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i13%2F132253