• DocumentCode
    1863026
  • Title

    Study on model´s integrated representability and modeling method of power load

  • Author

    Peng, Wang ; Yanhong, Wu ; Huachun, Yang ; Rui, Ma ; Guoqiang, Hu ; Renmu, He

  • Author_Institution
    Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Baoding
  • fYear
    2005
  • fDate
    Nov. 29 2005-Dec. 2 2005
  • Firstpage
    752
  • Abstract
    Practical load model is of great importance for the power system planning, design and operation. The characteristic of traditional dynamic load model are physical meaning clear and concise, easy for analyzing and optimization, but also have disadvantage. The idea of model representability is proposed in this paper, together with the quantitative index and three qualitative indexes for it. On this basis, the fuzzy comprehensive evaluation method of fuzzy set theory is adopted to scale the model´s integrated representability, which is used as the constraint for model identification optimization reconstruction. The case study clarifies the rationality of the indexes for the model´s integrated representability and its function in parameter identification
  • Keywords
    fuzzy set theory; power system parameter estimation; power system planning; fuzzy comprehensive evaluation method; fuzzy set theory; parameter identification; power system design; power system operation; power system planning; Constraint optimization; Constraint theory; Fuzzy set theory; Induction motors; Load modeling; Mathematical model; Parameter estimation; Power system dynamics; Power system modeling; Power system planning; fuzzy comprehensive evaluation; integrated induction motor; integrated representability; load modeling; model representability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2005. IPEC 2005. The 7th International
  • Conference_Location
    Singapore
  • Print_ISBN
    981-05-5702-7
  • Type

    conf

  • DOI
    10.1109/IPEC.2005.207007
  • Filename
    1627296