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Fuzzy Random Chance-Constrained Programming for Quantifying Transmission Reliability Margin

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Fuzzy Systems and Knowledge Discovery (FSKD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

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Abstract

A fuzzy random chance-constrained programming method for quantifying transmission reliability margin is presented in this paper. Uncertainty problem of power systems is modeled as a fuzzy stochastic optimization problem, solved the hybrid intelligence algorithm based on chance constrained programming model. The simulation results of IEEE30 system demonstrate the advantages of the proposed approach.

This work is financially supported by Guangxi Nature Science Fundation(#0640028), Guangxi Education Administration and Ningbo Nature Science Fundation(#2005A610013).

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References

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Gunagxi University, 100 University Rd., 530004, Nanning, Guangxi, China

    Wu Jiekang & Zhou Ju

  2. Department of Electrical Engineering, Zhejiang University, 38 ZheDa Rd., 310027, Hangzhou, Zhejiang, China

    Wu Jiekang

  3. AUX Group, Sanxing Science and Technology Co., Ltd., 566 Yinxian Rd., 315100, Ningbo, Zhejiang, China

    Wu Jiekang

  4. Department of Computer and Information Engineering, Gunagxi University, 100 University Rd., 530004, Nanning, Guangxi, China

    Wu Qiang

  5. Guangxi Water Resources & Electric Power Ltd., 39 North Yuanhu Street, 530023, Nanning, Guangxi, China

    Liang Ying

Authors
  1. Wu Jiekang
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  2. Zhou Ju
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  3. Wu Qiang
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  4. Liang Ying
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University,, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Life Science Research Center, School of Electronic Engineering, Xidian University,, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  3. School of Electrical and Electronic Engineering, Xidian University, 710071, Xi’an, China

    Guanming Shi

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  5. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

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© 2006 Springer-Verlag Berlin Heidelberg

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Jiekang, W., Ju, Z., Qiang, W., Ying, L. (2006). Fuzzy Random Chance-Constrained Programming for Quantifying Transmission Reliability Margin. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_126

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  • DOI: https://doi.org/10.1007/11881599_126

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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