• DocumentCode
    2313975
  • Title

    Environmental/economic/reliability power dispatch based on RS and IPSO approach

  • Author

    Li, Jinchao ; Li, Jinying

  • Author_Institution
    Econ. & Manage. Sch., North China Electr. Power Univ., Beijing, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    3948
  • Lastpage
    3952
  • Abstract
    The environmental/economic/reliability dispatch (EERD) problems considering both economic and environmental are solved by the rough sets (RS) and improved particle swarm optimization (IPSO) method. For the EERD problems treats economic, emission and reliability impact as competing objectives. There are lots of indexes used for the evaluation of electric power generation units. Firstly, the RS method is used to the indexes reduction and the formation of the objective function. Then the IPSO method is used to calculate the output of the electric power generation units. At last, the feasibility of the proposed method is demonstrated from 8 unit systems, and the test results are compared with those obtained by Simulate Anneal (SA) and Genetic Algorithm (GA) in terms of solution quality and convergence properties. The simulation results show that the proposed method is capable of obtaining higher quality solutions.
  • Keywords
    genetic algorithms; load dispatching; particle swarm optimisation; power system reliability; rough set theory; simulated annealing; EERD; environmental-economic-reliability dispatch; genetic algorithms; improved particle swarm optimization; objective function; power dispatch; rough sets; simulated annealing; Economics; Indexes; Particle swarm optimization; Power generation; Power systems; Reliability; Set theory; environmental/economic/reliability power dispatching; improved particle swarm optimization; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584781
  • Filename
    5584781