• DocumentCode
    3728705
  • Title

    Comparison study of different load management methods for cost and emission reduction

  • Author

    Zhongyang Zhao;Caisheng Wang;Yang Wang;Carol J. Miller

  • Author_Institution
    Department of Electrical and Computer Engineering, Wayne State University, Detroit, U.S.
  • fYear
    2015
  • Firstpage
    352
  • Lastpage
    357
  • Abstract
    To address the challenge of climate change, reducing emissions due to electric power generation and consumption has received increasing attention worldwide. The previous research efforts have been focused on emission reduction on the generation side, but often ignored the positive impacts through active load management. This paper explores the models of load management to reduce emissions. Three kinds of load management algorithms are studied and compared in this paper using IEEE 14-Bus system. The results show that the proposed temporal and spatial load management method is the best way for emission reduction.
  • Keywords
    "Load management","Generators","Load modeling","Carbon dioxide","Natural gas","Biological system modeling","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power and Energy Conference (EPEC), 2015 IEEE
  • Print_ISBN
    978-1-4799-7662-1
  • Type

    conf

  • DOI
    10.1109/EPEC.2015.7379975
  • Filename
    7379975