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Title: Improving Distribution Resiliency with Microgrids and State and Parameter Estimation

Abstract

Modern society relies on low-cost reliable electrical power, both to maintain industry, as well as provide basic social services to the populace. When major disturbances occur, such as Hurricane Katrina or Hurricane Sandy, the nation’s electrical infrastructure can experience significant outages. To help prevent the spread of these outages, as well as facilitating faster restoration after an outage, various aspects of improving the resiliency of the power system are needed. Two such approaches are breaking the system into smaller microgrid sections, and to have improved insight into the operations to detect failures or mis-operations before they become critical. Breaking the system into smaller sections of microgrid islands, power can be maintained in smaller areas where distribution generation and energy storage resources are still available, but bulk power generation is no longer connected. Additionally, microgrid systems can maintain service to local pockets of customers when there has been extensive damage to the local distribution system. However, microgrids are grid connected a majority of the time and implementing and operating a microgrid is much different than when islanded. This report discusses work conducted by the Pacific Northwest National Laboratory that developed improvements for simulation tools to capture the characteristics of microgrids andmore » how they can be used to develop new operational strategies. These operational strategies reduce the cost of microgrid operation and increase the reliability and resilience of the nation’s electricity infrastructure. In addition to the ability to break the system into microgrids, improved observability into the state of the distribution grid can make the power system more resilient. State estimation on the transmission system already provides great insight into grid operations and detecting abnormal conditions by leveraging existing measurements. These transmission-level approaches are expanded to using advanced metering infrastructure and other distribution-level measurements to create a three-phase, unbalanced distribution state estimation approach. With distribution-level state estimation, the grid can be operated more efficiently, and outages or equipment failures can be caught faster, improving the overall resilience and reliability of the grid.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1334056
Report Number(s):
PNNL-24745
TE1205000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; distribution analysis; GridLAB-D; microgrids; reisliency; state estimation; parameter estimation

Citation Formats

Tuffner, Francis K., Williams, Tess L., Schneider, Kevin P., Elizondo, Marcelo A., Sun, Yannan, Liu, Chen-Ching, Xu, Yin, and Gourisetti, Sri Nikhil Gup. Improving Distribution Resiliency with Microgrids and State and Parameter Estimation. United States: N. p., 2015. Web. doi:10.2172/1334056.
Tuffner, Francis K., Williams, Tess L., Schneider, Kevin P., Elizondo, Marcelo A., Sun, Yannan, Liu, Chen-Ching, Xu, Yin, & Gourisetti, Sri Nikhil Gup. Improving Distribution Resiliency with Microgrids and State and Parameter Estimation. United States. doi:10.2172/1334056.
Tuffner, Francis K., Williams, Tess L., Schneider, Kevin P., Elizondo, Marcelo A., Sun, Yannan, Liu, Chen-Ching, Xu, Yin, and Gourisetti, Sri Nikhil Gup. Wed . "Improving Distribution Resiliency with Microgrids and State and Parameter Estimation". United States. doi:10.2172/1334056. https://www.osti.gov/servlets/purl/1334056.
@article{osti_1334056,
title = {Improving Distribution Resiliency with Microgrids and State and Parameter Estimation},
author = {Tuffner, Francis K. and Williams, Tess L. and Schneider, Kevin P. and Elizondo, Marcelo A. and Sun, Yannan and Liu, Chen-Ching and Xu, Yin and Gourisetti, Sri Nikhil Gup},
abstractNote = {Modern society relies on low-cost reliable electrical power, both to maintain industry, as well as provide basic social services to the populace. When major disturbances occur, such as Hurricane Katrina or Hurricane Sandy, the nation’s electrical infrastructure can experience significant outages. To help prevent the spread of these outages, as well as facilitating faster restoration after an outage, various aspects of improving the resiliency of the power system are needed. Two such approaches are breaking the system into smaller microgrid sections, and to have improved insight into the operations to detect failures or mis-operations before they become critical. Breaking the system into smaller sections of microgrid islands, power can be maintained in smaller areas where distribution generation and energy storage resources are still available, but bulk power generation is no longer connected. Additionally, microgrid systems can maintain service to local pockets of customers when there has been extensive damage to the local distribution system. However, microgrids are grid connected a majority of the time and implementing and operating a microgrid is much different than when islanded. This report discusses work conducted by the Pacific Northwest National Laboratory that developed improvements for simulation tools to capture the characteristics of microgrids and how they can be used to develop new operational strategies. These operational strategies reduce the cost of microgrid operation and increase the reliability and resilience of the nation’s electricity infrastructure. In addition to the ability to break the system into microgrids, improved observability into the state of the distribution grid can make the power system more resilient. State estimation on the transmission system already provides great insight into grid operations and detecting abnormal conditions by leveraging existing measurements. These transmission-level approaches are expanded to using advanced metering infrastructure and other distribution-level measurements to create a three-phase, unbalanced distribution state estimation approach. With distribution-level state estimation, the grid can be operated more efficiently, and outages or equipment failures can be caught faster, improving the overall resilience and reliability of the grid.},
doi = {10.2172/1334056},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {9}
}

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