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Difference Brain Storm Optimization for Combined Heat and Power Economic Dispatch

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Advances in Swarm Intelligence (ICSI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10385))

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Abstract

Brain Storm Optimization (BSO) is inspired by human being brain storm process. A novel Difference Brain Storm Optimization (DBSO) is proposed to solve combined heat and power economic dispatch (CHPED) problem in power plant. The difference mutation operation is adopted to replace the Gaussian mutation in the original BSO algorithm for increasing the diversity of the population and the speed of convergence. A test system with 7 units taken from the literature is simulated to verify the performance of the proposed algorithm. The results show that comparing with other intelligent optimization method, both BSO and DBSO can provide the better solution. The convergence speed of the DBSO is better than BSO algorithm.

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Acknowledgments

This paper is supported by National Youth Foundation of China with Grant Number 61503299.

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Authors and Affiliations

  1. Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China

    Yali Wu, Xinrui Wang, Yulong Fu & Yingruo Xu

  2. Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an, China

    Yali Wu, Xinrui Wang, Yulong Fu & Yingruo Xu

Authors
  1. Yali Wu
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  2. Xinrui Wang
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  3. Yulong Fu
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  4. Yingruo Xu
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Corresponding author

Correspondence to Yali Wu .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Wu, Y., Wang, X., Fu, Y., Xu, Y. (2017). Difference Brain Storm Optimization for Combined Heat and Power Economic Dispatch. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_57

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  • DOI: https://doi.org/10.1007/978-3-319-61824-1_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61823-4

  • Online ISBN: 978-3-319-61824-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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