Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids
Abstract
This paper presents a method for quantifying and enabling the resiliency of a power distribution system (PDS) using analytical hierarchical process and percolation theory. Using this metric, quantitative analysis can be done to analyze the impact of possible control decisions to pro-actively enable the resilient operation of distribution system with multiple microgrids and other resources. Developed resiliency metric can also be used in short term distribution system planning. The benefits of being able to quantify resiliency can help distribution system planning engineers and operators to justify control actions, compare different reconfiguration algorithms, develop proactive control actions to avert power system outage due to impending catastrophic weather situations or other adverse events. Validation of the proposed method is done using modified CERTS microgrids and a modified industrial distribution system. Furthermore, simulation results show topological and composite metric considering power system characteristics to quantify the resiliency of a distribution system with the proposed methodology, and improvements in resiliency using two-stage reconfiguration algorithm and multiple microgrids.
- Authors:
-
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Washington State Univ., Pullman, WA (United States). School of Electrical Engineering and Computer Science
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE)
- OSTI Identifier:
- 1357533
- Report Number(s):
- INL/JOU-15-37184
Journal ID: ISSN 1949-3053
- Grant/Contract Number:
- AC07-05ID14517
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Smart Grid
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 6; Journal ID: ISSN 1949-3053
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; distribution systems; electric vehicles; microgrids; real-time simulations; reliability; resilience
Citation Formats
Chanda, Sayonsom, and Srivastava, Anurag K. Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids. United States: N. p., 2016.
Web. doi:10.1109/TSG.2016.2561303.
Chanda, Sayonsom, & Srivastava, Anurag K. Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids. United States. https://doi.org/10.1109/TSG.2016.2561303
Chanda, Sayonsom, and Srivastava, Anurag K. Mon .
"Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids". United States. https://doi.org/10.1109/TSG.2016.2561303. https://www.osti.gov/servlets/purl/1357533.
@article{osti_1357533,
title = {Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids},
author = {Chanda, Sayonsom and Srivastava, Anurag K.},
abstractNote = {This paper presents a method for quantifying and enabling the resiliency of a power distribution system (PDS) using analytical hierarchical process and percolation theory. Using this metric, quantitative analysis can be done to analyze the impact of possible control decisions to pro-actively enable the resilient operation of distribution system with multiple microgrids and other resources. Developed resiliency metric can also be used in short term distribution system planning. The benefits of being able to quantify resiliency can help distribution system planning engineers and operators to justify control actions, compare different reconfiguration algorithms, develop proactive control actions to avert power system outage due to impending catastrophic weather situations or other adverse events. Validation of the proposed method is done using modified CERTS microgrids and a modified industrial distribution system. Furthermore, simulation results show topological and composite metric considering power system characteristics to quantify the resiliency of a distribution system with the proposed methodology, and improvements in resiliency using two-stage reconfiguration algorithm and multiple microgrids.},
doi = {10.1109/TSG.2016.2561303},
journal = {IEEE Transactions on Smart Grid},
number = 6,
volume = 7,
place = {United States},
year = {Mon May 02 00:00:00 EDT 2016},
month = {Mon May 02 00:00:00 EDT 2016}
}
Web of Science
Works referencing / citing this record:
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