DocumentCode :
3665213
Title :
A Monte Carlo simulation platform for studying low voltage residential networks
Author :
Ricardo Torquato;Qingxin Shi;Wilsun Xu;Walmir Freitas
Author_Institution :
Dept. of Syst. &
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. 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 :
"Load modeling","Monte Carlo methods","Low voltage","Smart grids","Technological innovation","Monitoring","Load management"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7285654
Filename :
7285654
Link To Document :
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