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A study of automatic contingency selection algorithms for steady-state security assessment of power systems and the application of parallel processing

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posted on 2018-05-11, 09:12 authored by Ruth P. Saraiva Leao
The performance of various Contingency Selection methods has been investigated within the framework of accuracy for application to steady-state power system security assessment and suitability for execution in a real-time environment. In the study the following requirements have been considered: (a) Effectiveness: in identifying contingencies which may cause limit violations and discarding all others; (b) Adaptability: to model both permanent and temporary changes in the system; (c) Flexibility: to model any number and type of contingencies; (d) Computational efficiency: in terms of speed in selecting the sub-set of contingencies as well as in terms of storage requirements; (e) Ability: to update and augment on-line the list of contingencies given the actual system operating data. [Continues.]

Funding

Brazil, Ministry of Education, Coordenacão de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). Universidade Federal do Ceará (Fortaleza, Brazil).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Publisher

© Ruth P.S. Leão

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

1995

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

  • en

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    Mechanical, Electrical and Manufacturing Engineering Theses

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