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Optimal Tuning of Parameters for Impulse Voltage Generator Using Soft Computing Technique

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Advances in Automation, Signal Processing, Instrumentation, and Control (i-CASIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 700))

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Abstract

Power system equipment must tolerate not only the rated voltage which corresponds to the highest voltage of a particular system but also over voltages. The protection of electrical power system equipment depends on the performance of insulation systems under transient over voltage conditions like lightning and switching applications. As a result, it is obligatory to test high voltage equipment during the initial stage itself. The main objective of this paper includes the simulation of impulse wave generation using Marx generator circuits under varying load conditions and the application of Genetic Algorithm in optimizing impulse generator circuit parameters. This results in power and cost savings and makes impulse testing more feasible. The circuit set up for the production of unidirectional and bidirectional oscillatory impulse surge voltages is simulated in MATLAB. These impulse voltages are used for the testing of EHV lines and equipment.

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Correspondence to R. Sheeba .

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Sheeba, R., Pillai, S.D., Sofiya, S. (2021). Optimal Tuning of Parameters for Impulse Voltage Generator Using Soft Computing Technique. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_191

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  • DOI: https://doi.org/10.1007/978-981-15-8221-9_191

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8220-2

  • Online ISBN: 978-981-15-8221-9

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