Optimization of dynamic MOSA model parameters using ATP/EMTP software tool
| Autor: | Jovan Mrvić, Ninoslav Simić, Ranko Jasika, Ljubiša Čičkarić |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Emtp
Computer science Surge arrester Process (computing) Model parameters Control engineering dynamic model Emtp software metal-oxide surge arrester (MOSA) Genetic algorithm genetic algorithm Preprocessor lcsh:Electrical engineering. Electronics. Nuclear engineering ATP/EMTP parameter estimation optimization lcsh:TK1-9971 Electronic circuit |
| Zdroj: | Zbornik Radova: Elektrotehnički Institut "Nikola Tesla", Vol 27, Iss 27, Pp 47-56 (2017) |
| ISSN: | 2406-1212 0350-8528 |
| Popis: | This paper demonstrates the procedure for estimating parameters of a dynamic metal-oxide surge arrester model by using a genetic algorithm, implemented in ATP/EMTP graphic preprocessor (ATPDraw) optimization module. The advantages of new ATPDraw options that allow optimization of electric circuit elements are shown. The optimization process is applied to two frequency-dependent MOSA models. At the end of the work, a comparison of results obtained before and after optimization is given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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