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Title: Grid Friendly Appliance Controllers to Increase the Dynamic Stability of Networked Resiliency-based Microgrids

Abstract

Microgrids provide the ability to maintain service to critical end-use loads when utility service is not available. Despite their ability to increase resiliency, they can have high capital and operating costs; this can be compounded by the complexities associated with low inertia systems. One option to mitigate the costs is to more effectively engage the assets within the microgrids, specifically the end-use loads. Previous work has shown that by using Grid Friendly™ Appliance controllers, it is possible to increase the dynamic stability of multiple microgrids during switching transients, without the need to oversize generation assets or to install energy storage devices. Building on the previous work, this paper will present a method for determining the set-points of decentralized controllers, accounting for the different characteristics and sizes of loads, to facilitate multiple microgrid switching operations. By effectively engaging the end-use load as a resource, the switching operations necessary to network low inertia microgrid for resiliency applications can be supported without the need to oversize generation assets or for energy storage.

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1]; ORCiD logo [1]
  1. BATTELLE (PACIFIC NW LAB)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1506976
Report Number(s):
PNNL-SA-128452
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: 2018 IEEE/PES Transmission and Distribution Conference and Exposition, April 16-10, 2018, Denver, CO
Country of Publication:
United States
Language:
English
Subject:
GridLAB-D, Distribution Analysis

Citation Formats

Tuffner, Francis K., Radhakrishnan, Nikitha, Tang, Yingying, and Schneider, Kevin P. Grid Friendly Appliance Controllers to Increase the Dynamic Stability of Networked Resiliency-based Microgrids. United States: N. p., 2018. Web. doi:10.1109/TDC.2018.8440136.
Tuffner, Francis K., Radhakrishnan, Nikitha, Tang, Yingying, & Schneider, Kevin P. Grid Friendly Appliance Controllers to Increase the Dynamic Stability of Networked Resiliency-based Microgrids. United States. doi:10.1109/TDC.2018.8440136.
Tuffner, Francis K., Radhakrishnan, Nikitha, Tang, Yingying, and Schneider, Kevin P. Mon . "Grid Friendly Appliance Controllers to Increase the Dynamic Stability of Networked Resiliency-based Microgrids". United States. doi:10.1109/TDC.2018.8440136.
@article{osti_1506976,
title = {Grid Friendly Appliance Controllers to Increase the Dynamic Stability of Networked Resiliency-based Microgrids},
author = {Tuffner, Francis K. and Radhakrishnan, Nikitha and Tang, Yingying and Schneider, Kevin P.},
abstractNote = {Microgrids provide the ability to maintain service to critical end-use loads when utility service is not available. Despite their ability to increase resiliency, they can have high capital and operating costs; this can be compounded by the complexities associated with low inertia systems. One option to mitigate the costs is to more effectively engage the assets within the microgrids, specifically the end-use loads. Previous work has shown that by using Grid Friendly™ Appliance controllers, it is possible to increase the dynamic stability of multiple microgrids during switching transients, without the need to oversize generation assets or to install energy storage devices. Building on the previous work, this paper will present a method for determining the set-points of decentralized controllers, accounting for the different characteristics and sizes of loads, to facilitate multiple microgrid switching operations. By effectively engaging the end-use load as a resource, the switching operations necessary to network low inertia microgrid for resiliency applications can be supported without the need to oversize generation assets or for energy storage.},
doi = {10.1109/TDC.2018.8440136},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {4}
}

Conference:
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