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Model Centric Approach for Monte Carlo Assessment of Storm Restoration and Smart Grid Automation

[+] Author Affiliations
Danling Cheng

Electrical Distribution Design Inc., Blacksburg, CA

Ahmet Onen, Jaesung Jung, Robert Broadwater

Virginia Tech, Blacksburg, VA

Reza Arghandeh

University of California, Berkeley, CA

Charlie Scirbona

Orange and Rockland Utilities, Pearl River, NY

Paper No. POWER2014-32191, pp. V002T09A018; 4 pages
doi:10.1115/POWER2014-32191
From:
  • ASME 2014 Power Conference
  • Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition
  • Baltimore, Maryland, USA, July 28–31, 2014
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-4609-4
  • Copyright © 2014 by ASME

abstract

A model centric approach for Monte Carlo simulation for evaluating the economic and reliability benefits of automated switches for storm restoration is presented. A very detailed circuit model with over 20,000 individual customers modeled is used in the simulation. The simulation uses non-constant equipment failure rates based upon actual utility measurements. As part of the Monte Carlo storm simulation, a reconfiguration for restoration algorithm is employed in determining the response to each outage. The reconfiguration for restoration algorithm can work with either manual or automated switches, or both. System reliability with and without automated switching devices is investigated. Cost benefits as well as reliability benefits are considered.

Copyright © 2014 by ASME
Topics: Smart grids , Storms

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