Voltage stability evaluation of real power transmission system using singular value decomposition technique

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Voltage stability evaluation of real power transmission system using singular value decomposition technique

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dc.contributor.author Ellithy, K.
dc.contributor.author Shaheen, M.
dc.contributor.author Al-Athba, M.
dc.contributor.author Al-Subaie, A.
dc.contributor.author Al-Mohannadi, S.
dc.contributor.author Al-Okkah, S.
dc.contributor.author Abu-Eidah, S.
dc.date.accessioned 2009-12-28T07:51:12Z
dc.date.available 2009-12-28T07:51:12Z
dc.date.issued 2008
dc.identifier.citation 2008, Article number 4762751, Pages 1691-1695 en_US
dc.identifier.uri http://dx.doi.org/10.1109/PECON.2008.4762751
dc.identifier.uri http://hdl.handle.net/10576/10517
dc.description.abstract Voltage stability is an important factor that needs to be taken into consideration during the planning and operation of power systems in order to avoid voltage collapse and subsequently partial or full system blackout. This paper presents singular value decomposition (SVD) technique to assess voltage stability of Qatar power transmission system. A MATLAB program has been developed for SVD technique. The voltage stability of the system has been analyzed during the peak load condition of summer 2007. The SVD results obtained by the developed MATLAB programs confirm that the Qatar power transmission system is "voltage stable". The critical load buses that could lead the system to voltage instability have been identified and the computer results have shown that there are critical load buses in the system. These critical load buses are located in an industrial area feeding from Qatar power system. The results of the critical load buses obtained by SVD have been verified by Q-V sensitivity. en_US
dc.language.iso en en_US
dc.subject Q-V sensitivity en_US
dc.subject Qatar power transmission system en_US
dc.subject Singular value decomposition en_US
dc.subject Voltage stability en_US
dc.title Voltage stability evaluation of real power transmission system using singular value decomposition technique en_US
dc.type Article en_US

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