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Parameter Estimation of High-Voltage Circuit Breaker Based on Genetic Algorithms

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Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

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Abstract

A method of parameter estimation of High-Voltage circuit break based on genetic algorithms is proposed in order to estimate the parameters of capacitance, inductance and resistance in oscillation circuit DC circuit breaker and then properly assess the performance of DC circuit breaker. In this paper A genetic algorithm is introduced and applied in parameter estimation of High-Voltage circuit breaker and then compare it with the traditional MATLAB curve fitting, the result clearly reveal the advantages of genetic algorithm.

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References

  1. Zhen, Z.-f., Zou, J.-y.: DC breaking and DC circuit breaker. High Voltage Apparatus (December 2006)

    Google Scholar 

  2. Zhang, W.-r., Gou, R.-f.: Simulation of the DC transfer process by DC circuit breaker. High Voltage Apparatus (April 2002)

    Google Scholar 

  3. Bao, M.-z.: Development of HVDC circuit breaker. High Voltage Apparatus (June 1990)

    Google Scholar 

  4. Andersson, D., Henriksson, A.: Passive and Active DC Breakers in the Three Gorges-Changzhou HVDC Project. In: ICPS 2001 Conference, Wuhan, China (2001)

    Google Scholar 

  5. Huang, S.-f., Jin, J.-l., Duan, J.-j.: New method of variogram parameter estimation on geostatistics. Geology and Exploration, 41–43 (July 1999)

    Google Scholar 

  6. Li, M.-q., Kou, J.-s., Lin, D.: The basic theory of genetic algorithm and application. Science Press of Beijin (2002)

    Google Scholar 

  7. Zou, W.-j., Wei, L.-d., Xu, W.-y.: Based on genetic algorithm analysis of slope stability, pp. 19–21. Guangxi University of Technology (April 2003)

    Google Scholar 

  8. Zhang, S.-w., Liu, J.-d., Han, X.-b.: A data fitting method based on genetic algorithm. Natural Science, Air Force Engineering University, 66–68 (August 2007)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Jin, T., Chen, W., Ning, T., Li, Z. (2011). Parameter Estimation of High-Voltage Circuit Breaker Based on Genetic Algorithms. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_22

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  • DOI: https://doi.org/10.1007/978-3-642-23214-5_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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