An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system

M. W. Mustafa, M. H. Sulaiman, H. Shareef, S. N Abd Khalid, S. R Abd Rahim, O. Alima

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

    4 Citations (Scopus)

    Abstract

    This paper proposes a new method to trace the transmission loss in deregulated power system by applying Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). The idea is to use GA as an optimizer to find the optimal values of hyper-parameters of LS-SVM and adopt a supervised learning approach to train the LS-SVM model. The well known proportional sharing method (PSM) is used to trace the loss at each transmission line which is then utilized as a teacher in the proposed hybrid technique called GA-SVM method. Based on load profile as inputs and PSM output for transmission loss allocation, the GA-SVM model is expected to learn which generators are responsible for transmission losses. In this paper, IEEE 14-bus system is used to show the effectiveness of the proposed method.

    Original languageEnglish
    Title of host publication2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts
    Pages375-380
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Shah Alam, Selangor
    Duration: 6 Jun 20117 Jun 2011

    Other

    Other2011 5th International Power Engineering and Optimization Conference, PEOCO 2011
    CityShah Alam, Selangor
    Period6/6/117/6/11

    Fingerprint

    Support vector machines
    Genetic algorithms
    Supervised learning
    Electric lines

    Keywords

    • Deregulation
    • genetic algorithm
    • proportional sharing method
    • support vector machine
    • transmission loss allocation

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology

    Cite this

    Mustafa, M. W., Sulaiman, M. H., Shareef, H., Khalid, S. N. A., Rahim, S. R. A., & Alima, O. (2011). An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system. In 2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts (pp. 375-380). [5970400] https://doi.org/10.1109/PEOCO.2011.5970400

    An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system. / Mustafa, M. W.; Sulaiman, M. H.; Shareef, H.; Khalid, S. N Abd; Rahim, S. R Abd; Alima, O.

    2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts. 2011. p. 375-380 5970400.

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

    Mustafa, MW, Sulaiman, MH, Shareef, H, Khalid, SNA, Rahim, SRA & Alima, O 2011, An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system. in 2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts., 5970400, pp. 375-380, 2011 5th International Power Engineering and Optimization Conference, PEOCO 2011, Shah Alam, Selangor, 6/6/11. https://doi.org/10.1109/PEOCO.2011.5970400
    Mustafa MW, Sulaiman MH, Shareef H, Khalid SNA, Rahim SRA, Alima O. An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system. In 2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts. 2011. p. 375-380. 5970400 https://doi.org/10.1109/PEOCO.2011.5970400
    Mustafa, M. W. ; Sulaiman, M. H. ; Shareef, H. ; Khalid, S. N Abd ; Rahim, S. R Abd ; Alima, O. / An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system. 2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts. 2011. pp. 375-380
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