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  • This paper deals with possible algorithms, which may ensure numerical stability of Newton-Raphson method in load flow analysis. Although the Newton-Raphson method is frequently used, it may have difficulties to obtain convergence. Oscillations, divergence or even convergence to unfeasible solutions may appear using traditional procedures. Therefore, various techniques (such as update truncation, factor relaxation, etc.) can be broadly employed to increase the reliability of the results obtained. The aim of this paper is to find the best available stability algorithm providing solutions with minimum number of iterations and lowest CPU time requirements.
  • This paper deals with possible algorithms, which may ensure numerical stability of Newton-Raphson method in load flow analysis. Although the Newton-Raphson method is frequently used, it may have difficulties to obtain convergence. Oscillations, divergence or even convergence to unfeasible solutions may appear using traditional procedures. Therefore, various techniques (such as update truncation, factor relaxation, etc.) can be broadly employed to increase the reliability of the results obtained. The aim of this paper is to find the best available stability algorithm providing solutions with minimum number of iterations and lowest CPU time requirements. (en)
Title
  • Stability Algorithms for Newton-Raphson Method in Load Flow Analysis
  • Stability Algorithms for Newton-Raphson Method in Load Flow Analysis (en)
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  • Stability Algorithms for Newton-Raphson Method in Load Flow Analysis
  • Stability Algorithms for Newton-Raphson Method in Load Flow Analysis (en)
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  • RIV/49777513:23220/12:43916360!RIV13-MSM-23220___
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  • RIV/49777513:23220/12:43916360
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  • Load Flow Analysis, Newton-Raphson, Update Truncation method, Factor Relaxation method, One-Shot State Variable Update. (en)
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  • Veleba, Jan
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  • BEN - technická literatura
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  • 978-80-7300-461-3
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  • 23220
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