DocumentCode :
1757182
Title :
A Monte Carlo Simulation Platform for Studying Low Voltage Residential Networks
Author :
Torquato, Ricardo ; Qingxin Shi ; Wilsun Xu ; Freitas, Wilson
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Volume :
5
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
2766
Lastpage :
2776
Abstract :
The smart grid vision has resulted in many demand side innovations such as nonintrusive load monitoring techniques, residential micro-grids, and demand response programs. Many of these techniques need a detailed residential network model for their research, evaluation, and validation. In response to such a need, this paper presents a sequential Monte Carlo (SMC) simulation platform for modeling and simulating low voltage residential networks. This platform targets the simulation of the quasi-steady-state network condition over an extended period such as 24 h. It consists of two main components. The first is a multiphase network model with power flow, harmonic, and motor starting study capabilities. The second is a load/generation behavior model that establishes the operating characteristics of various loads and generators based on time-of-use probability curves. These two components are combined together through an SMC simulation scheme. Four case studies are presented to demonstrate the applications of the proposed platform.
Keywords :
Monte Carlo methods; distributed power generation; load flow; power system harmonics; smart power grids; SMC simulation scheme; demand response programs; demand side innovations; load-generation behavior model; low voltage residential networks; motor starting; multiphase network model; nonintrusive load monitoring techniques; power flow; power harmonic; quasi-steady-state network condition; residential microgrids; sequential Monte Carlo simulation platform; smart grid vision; time 24 h; time-of-use probability curves; Home appliances; Load modeling; Low voltage; Microgrids; Monte Carlo methods; Power quality; Demand response; low voltage residential networks; microgrids; network simulation; power quality;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2014.2331175
Filename :
6853399
Link To Document :
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