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Design of P-I-D Power System Stabilizer Using Oppositional Krill Herd Algorithm for a Single Machine Infinite Bus System

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Intelligent Techniques and Applications in Science and Technology (ICIMSAT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 12))

Abstract

In recent years different controllers have been come into picture so far is the betterment of Power System Utilization is considered such as FACTS Controller etc. Here a Synchronous generator is linked to a bus having voltage and frequency constant is modeled from Stator and rotor equations and after obtaining the state matrix through Heffron-Phillips constants eigenvalues are determined to comment on the system stability. Next the whole system is explored using Proportional-Integral-Differential Stabilizer (P-I-D PSS). The gains of P-I-D PSS have been adjusted towards the best possible values by Oppositional Krill Herd Algorithm (O.K.H.A), an optimizing tool. And it is done by curtailing the value of objective function using integral square error (I.S.E) technique. Results of dynamic responses are compared between with-PSS operation and without-PSS mode. From the plots, the improvement of using a PSS is clearly reflected to comment on the stability.

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Acknowledgement

The authors acknowledge with sincere thanks for the assistance obtained from the deptt. of Electrical Engg., Modern Institute of Engineering and Technology, West Bengal and particularly Dr. Shiv Shankar Saha, Professor and HOD of Deptt. of Electrical Engineering, Kalyani Govt. Engg. College, West Bengal. Deep regards also go to our fellow seniors and friends in the concerned department.

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Correspondence to Pronami Mukherjee .

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Mukherjee, P., Das, A., Bera, P.S. (2020). Design of P-I-D Power System Stabilizer Using Oppositional Krill Herd Algorithm for a Single Machine Infinite Bus System. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_96

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