MULTIOBJECTIVE OPTIMAL GENERATION DISPATCH BASED ON PROBABILITY SECURITY CRITERIA.

R. Yokoyama, S. H. Bae, T. Morita, H. Sasaki

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

    2 Citations (Scopus)

    Abstract

    A novel and efficient algorithm is proposed to obtain the optimal power flow in power system operation and planning phases by solving a multi-objective optimization problem. In deciding the optimal system operation, various objectives, such as economy, reliability and minimum influence on environments, should simultaneously be attained. However, these objectives are contradictory to each other and involve tradeoffs, making it difficult to handle this class of problem by conventional approaches which optimize a single performance index. In the proposed algorithm, the optimal load flow problem is formulated as a multi-objective optimization problem, and the epsilon -constrained technique is used to obtain a set of noninferiority solutions. The concept of a preference index is introduced to decide the optimum solution. In the particular study described, the security index is chosen as the preference index. The algorithm has made it possible to treat optimal dispatch problems with multiple performance indices and to handle tradeoffs between selected indices. The effect of uncertain factors can also be taken into account. The validity and effectiveness of the approach is verified through numerical examples on the IEEE 30-node, 6-generator system.

    Original languageEnglish
    Title of host publicationUnknown Host Publication Title
    Place of PublicationNew York, NY, USA
    PublisherIEEE
    Pages414-421
    Number of pages8
    Publication statusPublished - 1987
    EventConf Pap - 1987 power ind comput appl conf pica 87 - Montreal, Que, Can
    Duration: 1987 May 181987 May 22

    Other

    OtherConf Pap - 1987 power ind comput appl conf pica 87
    CityMontreal, Que, Can
    Period87/5/1887/5/22

    Fingerprint

    Multiobjective optimization
    Optimal systems
    Planning

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Yokoyama, R., Bae, S. H., Morita, T., & Sasaki, H. (1987). MULTIOBJECTIVE OPTIMAL GENERATION DISPATCH BASED ON PROBABILITY SECURITY CRITERIA. In Unknown Host Publication Title (pp. 414-421). New York, NY, USA: IEEE.

    MULTIOBJECTIVE OPTIMAL GENERATION DISPATCH BASED ON PROBABILITY SECURITY CRITERIA. / Yokoyama, R.; Bae, S. H.; Morita, T.; Sasaki, H.

    Unknown Host Publication Title. New York, NY, USA : IEEE, 1987. p. 414-421.

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

    Yokoyama, R, Bae, SH, Morita, T & Sasaki, H 1987, MULTIOBJECTIVE OPTIMAL GENERATION DISPATCH BASED ON PROBABILITY SECURITY CRITERIA. in Unknown Host Publication Title. IEEE, New York, NY, USA, pp. 414-421, Conf Pap - 1987 power ind comput appl conf pica 87, Montreal, Que, Can, 87/5/18.
    Yokoyama R, Bae SH, Morita T, Sasaki H. MULTIOBJECTIVE OPTIMAL GENERATION DISPATCH BASED ON PROBABILITY SECURITY CRITERIA. In Unknown Host Publication Title. New York, NY, USA: IEEE. 1987. p. 414-421
    Yokoyama, R. ; Bae, S. H. ; Morita, T. ; Sasaki, H. / MULTIOBJECTIVE OPTIMAL GENERATION DISPATCH BASED ON PROBABILITY SECURITY CRITERIA. Unknown Host Publication Title. New York, NY, USA : IEEE, 1987. pp. 414-421
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    abstract = "A novel and efficient algorithm is proposed to obtain the optimal power flow in power system operation and planning phases by solving a multi-objective optimization problem. In deciding the optimal system operation, various objectives, such as economy, reliability and minimum influence on environments, should simultaneously be attained. However, these objectives are contradictory to each other and involve tradeoffs, making it difficult to handle this class of problem by conventional approaches which optimize a single performance index. In the proposed algorithm, the optimal load flow problem is formulated as a multi-objective optimization problem, and the epsilon -constrained technique is used to obtain a set of noninferiority solutions. The concept of a preference index is introduced to decide the optimum solution. In the particular study described, the security index is chosen as the preference index. The algorithm has made it possible to treat optimal dispatch problems with multiple performance indices and to handle tradeoffs between selected indices. The effect of uncertain factors can also be taken into account. The validity and effectiveness of the approach is verified through numerical examples on the IEEE 30-node, 6-generator system.",
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