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Implementation of Particle Swarm Optimization to Evaluate Single-Stage Impulse Generator Circuit Parameters

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Intelligent Computing in Control and Communication

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 702))

Abstract

In this paper, a new approach based on particle swarm optimization (PSO) algorithm is used to evaluate the single-stage impulse generator (SSIG) circuit parameters (R1, R2, C1, and C2) from the known values of rise and tail times. The results reported in this paper provide the standard lightning impulse (LI) signals which meticulously matches with those waveforms illustrated in the IEEE 4-2013, and IEC-62305-1, 2010 standards. This is the first of its kind attempt to use PSO as a tool to evaluate the SSIG circuit parameters. This approach helps to overcome the practice of conventional trial and error methods for finding the impulse circuit parameters. These results are verified by the impulse circuit developed in MATLAB.

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Ramarao, G., Jayaram, N., Ram Mohan Naidu, P., Vamsi, A., Krishna Prasad, M., Jagadeesh, D. (2021). Implementation of Particle Swarm Optimization to Evaluate Single-Stage Impulse Generator Circuit Parameters. In: Sekhar, G.C., Behera, H.S., Nayak, J., Naik, B., Pelusi, D. (eds) Intelligent Computing in Control and Communication. Lecture Notes in Electrical Engineering, vol 702. Springer, Singapore. https://doi.org/10.1007/978-981-15-8439-8_44

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  • DOI: https://doi.org/10.1007/978-981-15-8439-8_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8438-1

  • Online ISBN: 978-981-15-8439-8

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