• DocumentCode
    572304
  • Title

    The Investigation of Residential Load Identification Technologies

  • Author

    Li Jing ; Yang Honggeng

  • Author_Institution
    Sch. of Eiectrical Eng. & Inf., Sichuan Univ., Chengdu, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Electrical energy, as a major source energy of production and life, plays an important role in national economic development. In recent years, the demand of electrical energy is increasing, the shortage of electrical energy becomes serious. In order to alleviate this problem, people has proposed the idea of load identification. Load identification system can determine the type of the load, provide the detailed electricity consumption and running state of equipments for supply-side and user. This paper gives a review of monitoring and identification methods for electrical loads, compares their applicability and accuracy on different loads, and updates direction for future research. And then, we propose fuzzy algorithm to implement the load identification of residential load . One of the key advantages of the fuzzy method is its capability to identify the major residential loads accurately. Actual trial data and results are presented in the paper to demonstrate the performance of the identification method.
  • Keywords
    fuzzy set theory; load distribution; power consumption; actual trial data; electrical energy; electrical loads; electricity consumption; fuzzy algorithm; fuzzy method; load identification system; major source energy; national economic development; residential load identification technologies investigation; Databases; Feature extraction; Harmonic analysis; Home appliances; Monitoring; Steady-state; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307565
  • Filename
    6307565