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
Link To Document :
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