Interface flow limit identification using focused time delay network for MEPS transmission

N. B. Salim, Takao Tsuji, Tsutomu Oyama, Kenko Uchida

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper investigates the use of use of Dynamic Neural Network (DNN) to extensively identify limitation of active power flow on the main transmission line for Malaysia Electric Power System (MEPS) network with PV generators provision. Conceptually, DNN is superior to Static Neural Network (SNN) in whatever errands are propounded from simple to complex systems. Compared to the conventional method using Continuous Power Flow (CPF) hereby with dynamical of neural network expedited identification of secure limitation on the network at given occasion. Namely, a Focused Time Delay Network (FTDN) which categorized as dynamic network model is developed in this study to specify the limit of active power flow over the network. Further, load variations e.g. low and high peak demand whilst considering N-1 criterion is deployed correspondingly. The simulations results are obtained using MATLAB software to identify MEPS network for inter area power transactions capability successfully presented and discussed thoroughly.

    Original languageEnglish
    Title of host publicationProceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781509012381
    DOIs
    Publication statusPublished - 2016 Jan 19
    EventIEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 - Bangkok, Thailand
    Duration: 2015 Nov 32015 Nov 6

    Other

    OtherIEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
    CountryThailand
    CityBangkok
    Period15/11/315/11/6

    Keywords

    • FTDN
    • Neural network
    • Voltage Stability

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Control and Systems Engineering

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