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Advances in Systems Science pp 385–394Cite as

Automatic Generator Re-dispatch for a Dynamic Power System by Using an Artificial Neural Network Topology

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 240))

Abstract

In recent years, the number of severe fault situations and blackouts worldwide has increased with the growth of large interconnected power system networks. This paper attempts to investigate the effect of a contingency (N-1) on rotor angle stability and thermal line flow for a dynamic power system. In addition, a solution is presented to eliminate system instability by providing an automatic generator re-dispatch instantly after a disturbance. Based on the ability of an Artificial Neural Network (ANN), it is possible to model a mathematical relationship between a power system disturbance and a control action due to the fast response of an ANN system. This relationship is obtained by the neurons between the input and output layers of the ANN topology. The completed model and data knowledge preparation process were successfully tested on an IEEE 9-bus test system. The ANN was able to provide a control action in a very short time period with high accuracy. An optimal amount of generator re-dispatch in Megawatt (MW) can contribute towards eliminating bus voltage and thermal line flow violations or unstable power system operation.

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Author information

Authors and Affiliations

  1. Faculty of Information Science and Engineering, Department of Engineering and Technology, Management and Science University, 40100, Shah Alam, Selangor, Malaysia

    Ahmed N. AL-Masri

Authors
  1. Ahmed N. AL-Masri
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Correspondence to Ahmed N. AL-Masri .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Jerzy Swiątek

  2. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Adam Grzech

  3. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Paweł Swiątek

  4. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Jakub M. Tomczak

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© 2014 Springer International Publishing Switzerland

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AL-Masri, A.N. (2014). Automatic Generator Re-dispatch for a Dynamic Power System by Using an Artificial Neural Network Topology. In: Swiątek, J., Grzech, A., Swiątek, P., Tomczak, J. (eds) Advances in Systems Science. Advances in Intelligent Systems and Computing, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-01857-7_37

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  • DOI: https://doi.org/10.1007/978-3-319-01857-7_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01856-0

  • Online ISBN: 978-3-319-01857-7

  • eBook Packages: EngineeringEngineering (R0)

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