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Parameter estimation of DC black-Box arc models using genetic algorithms

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Abstract This paper presents a method for estimating the black-box arc parameters using genetic algorithm. The proposed method is applied to represent a DC short-circuit in a railway system protected… Click to show full abstract

Abstract This paper presents a method for estimating the black-box arc parameters using genetic algorithm. The proposed method is applied to represent a DC short-circuit in a railway system protected by a High-Speed Circuit Breaker (HSCB). The simulated cases were compared with experimental data, and the results show very good agreement between model predictions and experiments. This method could potentially be used by HSCB’s manufacturers to extract and provide arc model parameters to end users based on their test results.

Keywords: using genetic; box arc; parameter estimation; black box

Journal Title: Electric Power Systems Research
Year Published: 2021

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