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International Conference on Intelligent Computing for Sustainable Energy and Environment

International Conference on Life System Modeling and Simulation

ICSEE 2017, LSMS 2017: Intelligent Computing, Networked Control, and Their Engineering Applications pp 156–163Cite as

An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 762))

Abstract

An improved dual grey wolf optimization (GWO) algorithm with binary and dogmatic parts were proposed. The up and down state of units were optimized by binary grey wolf optimization (bGWO), and the exchange velocity was modified by adding two dynamical factors in random number producing. The GWO was used in units’ load scheduling during the process of deciding up-down states and after the solution. One examples with 10 units including 24 period of time was simulated, the results showed the proposed algorithm improved convergence rate and accuracy of the solution.

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Acknowledgements

This work was financially supported by the Innovation Program of Shanghai Municipal Education Commission (Nos. 15ZZ106, 14YZ157), Shanghai Natural Science Foundation (Nos. 12ZR1411600, 14ZR1417200, 15ZR1417300), Climbing Peak Discipline Project of Shanghai Dianji University (No. 15DFXK01).

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Authors and Affiliations

  1. Department of Electrical Engineering, Shanghai Dianji University, Shanghai, 201306, China

    Jian Liu

  2. Department of Mathematics and Physics, Shanghai Dianji University, Shanghai, 201306, China

    Sanming Liu

Authors
  1. Jian Liu
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  2. Sanming Liu
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Correspondence to Sanming Liu .

Editor information

Editors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Dong Yue

  2. Shanghai University , Shanghai, China

    Chen Peng

  3. Shanghai University , Shanghai, China

    Dajun Du

  4. Nanjing University of Posts and Telecommunications, Nanjing, China

    Tengfei Zhang

  5. Shanghai University , Shanghai, China

    Min Zheng

  6. Swinburne University of Technology, Melbourne, Victoria, Australia

    Qinglong Han

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© 2017 Springer Nature Singapore Pte Ltd.

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Liu, J., Liu, S. (2017). An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem. In: Yue, D., Peng, C., Du, D., Zhang, T., Zheng, M., Han, Q. (eds) Intelligent Computing, Networked Control, and Their Engineering Applications. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 762. Springer, Singapore. https://doi.org/10.1007/978-981-10-6373-2_16

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  • DOI: https://doi.org/10.1007/978-981-10-6373-2_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6372-5

  • Online ISBN: 978-981-10-6373-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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