• Mohammad Isharat Khan
• Shipli Sisodiya

The research article discuss the approach to find the best possible value of the series and shunt capacitance to be connected in order to get the best possible voltage profile with the available arrangement using genetic algorithm. A Meta heuristic approach is used for the selection strategy of the series and shunt capacitors to get optimum voltage regulation. The connection scheme taken is the short shunt scheme as it has performance superiorities as compared to long shunt connections. The two unknowns Xm and f have been found out using the conventional MATLAB routine, these values are used for the further calculations to find out the optimum set of the series and shunt capacitance values for SEIG to give best voltage regulation. This requires evaluating the generator characteristics under constant voltage operation. The technique employed in the article is Genetic Algorithm based Optimization Method which has a population of random solutions and here the series and shunt capacitances have been kept as the random values. The idea behind using this method is that the method is more effective and is not complex and more accurate results are obtained using this method as the other method doe not converge to the expectation.

SEIG, Capacitance Integration, Genetic Algorithm, Reactive Power

"Optimal Capacitance Integration in Self Excited Induction Generator for Supplying Reactive Power using Genetic Algorithm for Efficient Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 3, page no.652-659, March-2017, Available :http://www.jetir.org/papers/JETIR1703112.pdf

"Optimal Capacitance Integration in Self Excited Induction Generator for Supplying Reactive Power using Genetic Algorithm for Efficient Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 3, page no. pp652-659, March-2017, Available at : http://www.jetir.org/papers/JETIR1703112.pdf