• DocumentCode
    71581
  • Title

    Economic Dispatch With Non-Smooth Objectives—Part I: Local Minimum Analysis

  • Author

    Junpeng Zhan ; Wu, Q.H. ; Chuangxin Guo ; Xiaoxin Zhou

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    30
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    710
  • Lastpage
    721
  • Abstract
    Economic dispatch with valve-point effect (EDVPE) considered is presented as a more accurate model of the real problem compared to the conventional economic dispatch model. It is basically a non-convex, non-differentiable, and multi-modal optimization model with many local minima. Part I of the paper focuses on the local minimum analysis of the EDVPE. The analysis indicates that a local minimum consists of the singular points, the small convex regions, and the output of a slack unit that is dispatched to balance the load demand. Two types of local minima are identified and the second type could be ignored. To verify the rationality of the analyses, a traverse search has been performed to solve the EDVPE with and without considering the transmission loss on different test systems. All the simulation results support the analysis given in the paper. To effectively solve the EDVPE on a large-scale power system, based on the analysis presented in this paper, a new method, dimensional steepest decline method, is proposed in Part II of the paper.
  • Keywords
    gradient methods; optimisation; power generation dispatch; power transmission economics; dimensional steepest decline method; economic dispatch with valve-point effect; load demand; local minimum analysis; multimodal optimization model; nonsmooth objectives; transmission loss; Cost function; Economics; Fuels; Load modeling; Mathematical model; Power systems; Propagation losses; Economic dispatch with valve-point effect; global minimum; local minimum; non-convex; singular point;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2330577
  • Filename
    6844898