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Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems

         

摘要

cqvip:A modified cuckoo search(CS) algorithm is proposed to solve economic dispatch(ED) problems that have nonconvex, non-continuous or non-linear solution spaces considering valve-point effects, prohibited operating zones, transmission losses and ramp rate limits. Comparing with the traditional cuckoo search algorithm, we propose a self-adaptive step size and some neighbor-study strategies to enhance search performance.Moreover, an improved lambda iteration strategy is used to generate new solutions. To show the superiority of the proposed algorithm over several classic algorithms, four systems with different benchmarks are tested. The results show its efficiency to solve economic dispatch problems, especially for large-scale systems.

著录项

  • 来源
    《自动化学报:英文版》 |2018年第4期|P.794-806|共13页
  • 作者单位

    [1]College of Information Science and Engineering;

    Northeastern University;

    Shenyang 110819;

    China;

    [2]School of Science;

    University of Science and Technology Liaoning;

    Anshan 114051;

    China;

    [1]College of Information Science and Engineering;

    Northeastern University;

    Shenyang 110819;

    China;

    [3]Department of Electrical and Computer Engineering;

    New Jersey Institute of Technology;

    Newark;

    NJ 07102;

    USA;

    [4]College of Computer and Communication Engineering;

    Liaoning Shihua University;

    Fushun 113001;

    China;

    [3]Department of Electrical and Computer Engineering;

    New Jersey Institute of Technology;

    Newark;

    NJ 07102;

    USA;

    [5]Department of Computer Science and Technology;

    Shandong University of Science and Technology;

    Qingdao 266590;

    China;

    [6]Department of Computer Science and Technology;

    Tongji University;

    Shanghai 201804;

    China;

  • 原文格式 PDF
  • 正文语种 CHI
  • 中图分类 自动化技术及设备;
  • 关键词

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