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AUTHOR(S):

Emil Ninan Skariah, Rajesh Joseph Abraham

 

TITLE

On GA Optimized Automatic Generation Control with Superconducting Magnetic Energy Storage

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ABSTRACT

This paper discusses the effect of a Superconducting Magnetic Energy Storage (SMES) on low frequency oscillations in area frequency deviations and the tie line power variations following a step load perturbation. A two area interconnected thermal power system with two reheat generating units in area 1 and two non reheat generating units in area 2 has been considered with SMES unit in each area. The optimal integral gain settings of both the areas without and with SMES are obtained for different combinations of ACE participation factors using Genetic Algorithm where the objective function considered is quadratic in frequency deviations and tie line power deviations. A comparison of dynamic performances without and with SMES units reveals that SMES can effectively improve the dynamic responses by reducing the overshoots and settling time to a significant extent.

KEYWORDS

Automatic Generation Control, Genetic Algorithm, Integral Squared Error technique, Superconducting Magnetic Energy Storage

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Cite this paper

Emil Ninan Skariah, Rajesh Joseph Abraham. (2017) On GA Optimized Automatic Generation Control with Superconducting Magnetic Energy Storage. International Journal of Power Systems, 2, 70-79

 

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