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.
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ASME 2014 Power Conference
July 28–31, 2014
Baltimore, Maryland, USA
Conference Sponsors:
- Power Division
ISBN:
978-0-7918-4609-4
PROCEEDINGS PAPER
Model Centric Approach for Monte Carlo Assessment of Storm Restoration and Smart Grid Automation
Danling Cheng
,
Danling Cheng
Electrical Distribution Design Inc., Blacksburg, CA
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Reza Arghandeh
,
Reza Arghandeh
University of California, Berkeley, CA
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Robert Broadwater
,
Robert Broadwater
Virginia Tech, Blacksburg, VA
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Charlie Scirbona
Charlie Scirbona
Orange and Rockland Utilities, Pearl River, NY
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Danling Cheng
Electrical Distribution Design Inc., Blacksburg, CA
Ahmet Onen
Virginia Tech, Blacksburg, VA
Reza Arghandeh
University of California, Berkeley, CA
Jaesung Jung
Virginia Tech, Blacksburg, VA
Robert Broadwater
Virginia Tech, Blacksburg, VA
Charlie Scirbona
Orange and Rockland Utilities, Pearl River, NY
Paper No:
POWER2014-32191, V002T09A018; 4 pages
Published Online:
November 19, 2014
Citation
Cheng, D, Onen, A, Arghandeh, R, Jung, J, Broadwater, R, & Scirbona, C. "Model Centric Approach for Monte Carlo Assessment of Storm Restoration and Smart Grid Automation." Proceedings of the 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. V002T09A018. ASME. https://doi.org/10.1115/POWER2014-32191
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