Nizam , Muhammad (2010) KOHONEN NEURAL NETWORK CLUSTERING FOR VOLTAGE CONTROL IN POWER SYSTEMS. TELKOMNIKA: Indonesian Journal of Electrical Engineering , 8 (2). pp. 115-122. ISSN 1693-6930

[img] PDF - Published Version
Download (163Kb)


    Clustering a power system is very useful for the purpose of voltage stability control. However, the methods have developed usually have computational inefficiency. This paper presents a new cluster bus technique using Kohonen neural network for the purpose of forming bus clusters in power systems from the voltage stability viewpoint. This cluster formation will simplify voltage control in power system. With this proposed Kohonen algorithm, a large bus system will be partitioned into a small bus groups that have a coherence V, θ, P and Q. The maximum number of area clusters will be formed need for voltage stability needed. The proposed technique was tested on IEEE 39 bus system by considering two contingency namely load increased and line outage by using voltage collapse analysis. This formation will be compared with the Learning Vector Quantization (LVQ) algorithm. The results showed the proposed technique produces four clusters on contingency load load increased and three clusters online outage contingency on IEEE 39 bus system as shown by the LVQ. Keywords: clustering, Kohonen, learning vector quantization, voltage stability

    Item Type: Article
    Subjects: T Technology > TJ Mechanical engineering and machinery
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Informatika
    Depositing User: mr admin 007
    Date Deposited: 20 May 2013 21:50
    Last Modified: 20 May 2013 21:50
    URI: https://eprints.uns.ac.id/id/eprint/745

    Actions (login required)

    View Item