Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm

Mohd Wazir Mustafa, Saifulnizam Abd Khalid, Mohd Herwan Sulaiman, Siti Rafidah Abd Rahim, Omar Aliman, Hussain Shareef

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

    3 Citations (Scopus)

    Abstract

    This paper attempts to trace the real power transfer of individual generators to loads in pool based power system by incorporating the hybridization of Least Squares Support Vector Machine (LS-SVM) with Continuous Genetic Algorithm (CGA)- CGA-LSSVM. The idea is to use CGA to find the optimal values of regularization parameter, γ and Kernel RBF parameter, σ2, and adapt a supervised learning approach to train the LS-SVM model. The technique that uses proportional sharing principle (PSP) is utilized as a teacher. Based on converged load flow and followed by PSP technique for power tracing procedure, the description of inputs and outputs of the training data are created. The CGA-LSSVM will learn to identify which generators are supplying to which loads. In this paper, the 25-bus equivalent system of southern Malaysia is used to illustrate the effectiveness of the CGA-LSSVM technique compared to that of the PSP technique.

    Original languageEnglish
    Title of host publicationInECCE 2011 - International Conference on Electrical, Control and Computer Engineering
    Pages76-81
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 - Kuantan
    Duration: 21 Jun 201122 Jun 2011

    Other

    Other1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011
    CityKuantan
    Period21/6/1122/6/11

    Fingerprint

    Support vector machines
    Genetic algorithms
    Supervised learning

    Keywords

    • continuous genetic algorithm (CGA)
    • least squares support vector machine (LS-SVM)
    • pool based power system
    • proportional sharing principle (PSP)

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    Cite this

    Mustafa, M. W., Khalid, S. A., Sulaiman, M. H., Rahim, S. R. A., Aliman, O., & Shareef, H. (2011). Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm. In InECCE 2011 - International Conference on Electrical, Control and Computer Engineering (pp. 76-81). [5953853] https://doi.org/10.1109/INECCE.2011.5953853

    Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm. / Mustafa, Mohd Wazir; Khalid, Saifulnizam Abd; Sulaiman, Mohd Herwan; Rahim, Siti Rafidah Abd; Aliman, Omar; Shareef, Hussain.

    InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. p. 76-81 5953853.

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

    Mustafa, MW, Khalid, SA, Sulaiman, MH, Rahim, SRA, Aliman, O & Shareef, H 2011, Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm. in InECCE 2011 - International Conference on Electrical, Control and Computer Engineering., 5953853, pp. 76-81, 1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011, Kuantan, 21/6/11. https://doi.org/10.1109/INECCE.2011.5953853
    Mustafa MW, Khalid SA, Sulaiman MH, Rahim SRA, Aliman O, Shareef H. Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm. In InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. p. 76-81. 5953853 https://doi.org/10.1109/INECCE.2011.5953853
    Mustafa, Mohd Wazir ; Khalid, Saifulnizam Abd ; Sulaiman, Mohd Herwan ; Rahim, Siti Rafidah Abd ; Aliman, Omar ; Shareef, Hussain. / Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm. InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. pp. 76-81
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    abstract = "This paper attempts to trace the real power transfer of individual generators to loads in pool based power system by incorporating the hybridization of Least Squares Support Vector Machine (LS-SVM) with Continuous Genetic Algorithm (CGA)- CGA-LSSVM. The idea is to use CGA to find the optimal values of regularization parameter, γ and Kernel RBF parameter, σ2, and adapt a supervised learning approach to train the LS-SVM model. The technique that uses proportional sharing principle (PSP) is utilized as a teacher. Based on converged load flow and followed by PSP technique for power tracing procedure, the description of inputs and outputs of the training data are created. The CGA-LSSVM will learn to identify which generators are supplying to which loads. In this paper, the 25-bus equivalent system of southern Malaysia is used to illustrate the effectiveness of the CGA-LSSVM technique compared to that of the PSP technique.",
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