• 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