• DocumentCode
    562974
  • Title

    A modified genetic approach to long-term generation maintenance scheduling to enhance the reliability of the units

  • Author

    Samuel, G. Giftson ; Rajan, C. Christober Asir

  • Author_Institution
    Dept. of EEE, Anna Univ., Tiruchirappalli, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    789
  • Lastpage
    793
  • Abstract
    This paper discuss a modified Genetic Approach to Long-term Generation Maintenance Scheduling to Enhance the Reliability of the units. Maintenance scheduling establishes the outage time scheduling of units in a particular time horizon. In a monopolistic power system, maintenance scheduling is being done upon the technical requirements of power plants and preserving the grid reliability. While in power system, technical viewpoints and system reliability are taken into consideration in maintenance scheduling with respect to the economical viewpoint. In this paper present a modified genetic algorithm methodology for finding the optimum preventive maintenance scheduling of generating units in power system. The objective function is to maintain the units as earlier as possible. Varies constrains such as spinning reserve, duration of maintenance and maintenance crew are being taken into account. In case study, a 66 bus utility power system in India with twelve generating units and IEEE test system consist of 24 buses with 32 generating units is used.
  • Keywords
    maintenance engineering; power generation reliability; power generation scheduling; power grids; power plants; IEEE test system; India; generating units; grid reliability; long-term generation maintenance scheduling; maintenance crew; modified genetic algorithm methodology; modified genetic approach; monopolistic power system; optimum preventive maintenance scheduling; power plants; spinning reserve; technical requirements; time horizon; units reliability; Biographies; Biological cells; Optimization; Reliability; Spinning; Generation Maintenance Schedule; Genetic Algorithm; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
  • Conference_Location
    Nagapattinam, Tamil Nadu
  • Print_ISBN
    978-1-4673-0213-5
  • Type

    conf

  • Filename
    6216208