• DocumentCode
    1612829
  • Title

    Smart grid and impact analysis of the application hourly rate for residential consumers using the Monte Carlo method

  • Author

    Figueiro, I.C. ; Abaide, A.R. ; Bernardon, D.P. ; Neto, N. Knak

  • fYear
    2013
  • Firstpage
    473
  • Lastpage
    478
  • Abstract
    The Brazilian electrical system will pass through significant changes, reaching the integration of information technology infrastructure and communications. The smart metering and the application of hourly rates will be one of the firsts procedures that will be adopted in order to transform the existing network in Smart Grids and definitively change the role and the participation of the consumer in the operation of electrical system. Residential consumers can be considered the most responsible for increasing the peak of load in the electric system, making the system and consequently the invested capital become idle in most of the time. Therefore the application of different hourly rates becomes important since the energy tariff applied to residential consumers do not induce greater efficiency in the use of the distribution system. The hourly rate was established aiming to promote energy management by the consumers and it will be an alternative to conventional and will also offer three different rates of energy tariff during the day. In order to estimate and improve the understanding of this new modality of energy tariff this paper proposes an initial analysis on the electric shower, which is considered the most responsible for the peak of the load curve. The method of Monte Carlo was applied to evaluate possible scenarios regarding electric shower consumption as well as to analyze the impacts from this new tariff.
  • Keywords
    Monte Carlo methods; energy management systems; power system measurement; smart meters; smart power grids; tariffs; Brazilian electrical system; Monte Carlo method; application hourly rate; distribution system; electric shower consumption; electrical system operation; energy management; energy tariff; impact analysis; information technology infrastructure; load curve; residential consumers; smart grid; smart metering; Consumer behavior; Energy consumption; Indexes; Low voltage; Monte Carlo methods; Power engineering; Smart grids; Hourly Rate; Monte Carlo Method; PROCEL INFO; Smart Grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2013.6635654
  • Filename
    6635654