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International Conference on Intelligent Computing

ICIC 2017: Intelligent Computing Theories and Application pp 587–599Cite as

Chaotic Optimization of Tethered Kites for Wind Energy Generator

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10361))

Abstract

Transduction of the stable wind energy into electrical energy at high altitudes is an innovative eco-friendly electricity generation strategy. Effective trajectory optimization can maximize the power generation for the traction phase and the recovery phase of the high-altitude wind power generator. The offline receding horizon control or the fast nonlinear model predictive control was previously employed to realize effective trajectory optimization, however it is time-consuming and lacks of adaptability and flexibility to varying system configurations. A receding horizon optimization method for the tethered kite generator based on an online searching scheme is proposed to improve the flexibility of the system. The nonlinear optimization problem can be approximately reformulated to a univariate receding horizon sub-optimal issue in a short interval in four phases with different objectives. By using uniform sampling and chaotic searching approaches, the sub-optimal solution, subject to the physical constraints, can be sought online. The simulation results demonstrate the effectiveness of the proposed method.

This work was supported by the Natural Science Foundation of China Under Grants of 61573197, 61273138, 61573199, and the Tianjin Natural Science Foundation (Grant No. 14JCYBJC18700, 13JCYBJC17400).

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Author information

Authors and Affiliations

  1. College of Computer and Control Engineering, Nankai University, Tianjin, 300350, China

    Junfang Li & Zengqiang Chen

  2. College of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, 300384, China

    Junfang Li & Mingwei Sun

  3. Department of Electrical and Mining Engineering, University of South Africa, Florida, 1710, South Africa

    Zenghui Wang

Authors
  1. Junfang Li
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  2. Mingwei Sun
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  3. Zenghui Wang
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  4. Zengqiang Chen
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Correspondence to Junfang Li .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Politecnico di Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

  4. Indian Institute of Technology, Kanpur, India

    Phalguni Gupta

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Li, J., Sun, M., Wang, Z., Chen, Z. (2017). Chaotic Optimization of Tethered Kites for Wind Energy Generator. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science(), vol 10361. Springer, Cham. https://doi.org/10.1007/978-3-319-63309-1_52

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  • DOI: https://doi.org/10.1007/978-3-319-63309-1_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63308-4

  • Online ISBN: 978-3-319-63309-1

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