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.


    Access

    Download


    Export, share and cite



    Title :

    KOHONEN NEURAL NETWORK CLUSTERING FOR VOLTAGE CONTROL IN POWER SYSTEMS


    Contributors:

    Publication date :

    2010-08-01


    Remarks:

    doi:10.12928/telkomnika.v8i2.612
    TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 8, No 2: August 2010; 115-122 ; 2302-9293 ; 1693-6930 ; 10.12928/telkomnika.v8i2



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629






    Classifying Highways: Hierarchical Grouping versus Kohonen Neural Networks

    Lingras, P. | British Library Online Contents | 1995


    On-Line Recognition of Handwritten Arabic Characters Using a Kohonen Neural Network

    Mezghani, N. / Mitiche, A. / Cheriet, M. | British Library Conference Proceedings | 2002