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

S  Harish Kiran; Subhransu Sekhar Dash; C  Subramani and Somashree Pathy

doi:10.17485/ijst/2016/v9i13/80524

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

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i13/80524

Year: 2016, Volume: 9, Issue: 13, Pages: 1-6

Original Article

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

S. Harish Kiran^*, Subhransu Sekhar Dash, C. Subramani and Somashree Pathy

Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India; [email protected], [email protected], [email protected], [email protected]

*Author for correspondence
S. Harish Kiran
Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

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)