• Login
    View Item 
    •   MUT Research Archive
    • Journal Articles
    • School of Engineering and Technology (JA)
    • Journal Articles (EN)
    • View Item
    •   MUT Research Archive
    • Journal Articles
    • School of Engineering and Technology (JA)
    • Journal Articles (EN)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A neuro fuzzy model of an induction motor for voltage stability analysis using continuation load flow

    Thumbnail
    View/Open
    Muriithi_ Voltage Stability Analysis Using Neuro Fuzzy Techniques(1).pdf (270.6Kb)
    Date
    2011
    Author
    Ngoo, L.M.
    Muriithi, Christopher M.
    Nyakoe, G.N
    Njoroge, S.N
    Metadata
    Show full item record
    Abstract
    This paper uses the concept of the continuation power flow analysis used in voltage stability analysis.It uses the continuation load flow to plot the PV (pressure-volume) curves of an induction motor load. A neuro-fuzzy model of an induction motor load is used to represent an industrial load. In the subsequent predictor-corrector stages, the induction motors are increased to depict increment in loading. Different motor ratings are used in the investigation. The process starts at some base values of the system and lead to the critical point. Further, the reduced Jacobian is used to strategically locate the capacitor banks in the power system so as to effect maximum voltage improvement. In the case study, illustrative examples with the IEEE 30 bus system are shown.
    URI
    http://hdl.handle.net/123456789/2774
    http://www.academicjournals.org/journal/JEEER/article-abstract/206A5239071
    Collections
    • Journal Articles (EN) [59]

    MUT Library copyright © 2017-2024  MUT Library Website
    Contact Us | Send Feedback
     

     

    Browse

    All of Research ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    MUT Library copyright © 2017-2024  MUT Library Website
    Contact Us | Send Feedback