Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 13, Pages: 1-6
S. Harish Kiran*, Subhransu Sekhar Dash, C. Subramani and Somashree Pathy
*Author for correspondence
S. Harish Kiran
Department of Electrical and Electronics Engineering, SRM University, Kattakulathur, Chennai - 603203, Tamil Nadu, India; [email protected]
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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