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Title: Integration of flow battery for resilience enhancement of advanced distribution grids

Abstract

This paper presents a real-time simulation and hardware-based approach for systematic integration of Distributed Energy Resources (DERs) in advanced distribution grids with a special focus on resilience. Advanced distribution grids are considered to be functionally more sophisticated than traditional ones. The desirable advanced functionalities include – reconfiguration, real-time sensing, DERs, self-healing, etc. Some of these functionalities are currently being realized by microgrids as well. However, it is not feasible to convert each section of a distribution grid into a microgrid, but can be instituted with functionalities by design and controls at relatively lower costs. Interconnection of DERs, including energy storage to improve reliability and resilience is presented in details. Resilience of distribution grids is gaining greater importance and research towards enhancing it utilizing DERs is a key area. A real-time resilience framework with Analytical Hierarchical Processes (AHP) is developed that adapts to changing configurations, DERs, switching operations, grid conditions, etc. to provide an accurate and adoptable composite resilience metric. This framework and the composite resilience metric can play a unique role in operational and design decisions for operating future distribution grids. Advanced functionalities such as scenario-based reconfiguration in distribution grids are considered, with resilience metrics as performance criteria for choosingmore » a preferred combination. Simulations are performed using Digital Real-Time Simulator (DRTS) and characterized response of flow battery validated against actual flow battery hardware is imposed to provide realistic results. Reconfiguration program is interfaced with DRTS for bi-directional real-time communication. Key contributions include enhancement of resilience of distribution grids using energy storage system under dynamic operating conditions.« less

Authors:
; ; ORCiD logo; ; ; ;
Publication Date:
Research Org.:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
OSTI Identifier:
2325052
Alternate Identifier(s):
OSTI ID: 1561095
Report Number(s):
INL/JOU-17-43318-Rev000
Journal ID: ISSN 0142-0615; S0142061517324523; PII: S0142061517324523
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Published Article
Journal Name:
International Journal of Electrical Power and Energy Systems
Additional Journal Information:
Journal Name: International Journal of Electrical Power and Energy Systems Journal Volume: 109 Journal Issue: C; Journal ID: ISSN 0142-0615
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 25 ENERGY STORAGE; 30 DIRECT ENERGY CONVERSION; Flow battery energy storage; Resilience; Distribution grids; Real-time simulations; Microgrids

Citation Formats

Panwar, Mayank, Chanda, Sayonsom, Mohanpurkar, Manish, Luo, Yusheng, Dias, Fernando, Hovsapian, Rob, and Srivastava, Anurag K. Integration of flow battery for resilience enhancement of advanced distribution grids. United Kingdom: N. p., 2019. Web. doi:10.1016/j.ijepes.2019.01.024.
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Panwar, Mayank, Chanda, Sayonsom, Mohanpurkar, Manish, Luo, Yusheng, Dias, Fernando, Hovsapian, Rob, & Srivastava, Anurag K. Integration of flow battery for resilience enhancement of advanced distribution grids. United Kingdom. https://doi.org/10.1016/j.ijepes.2019.01.024
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Panwar, Mayank, Chanda, Sayonsom, Mohanpurkar, Manish, Luo, Yusheng, Dias, Fernando, Hovsapian, Rob, and Srivastava, Anurag K. Mon . "Integration of flow battery for resilience enhancement of advanced distribution grids". United Kingdom. https://doi.org/10.1016/j.ijepes.2019.01.024.
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@article{osti_2325052,
title = {Integration of flow battery for resilience enhancement of advanced distribution grids},
author = {Panwar, Mayank and Chanda, Sayonsom and Mohanpurkar, Manish and Luo, Yusheng and Dias, Fernando and Hovsapian, Rob and Srivastava, Anurag K.},
abstractNote = {This paper presents a real-time simulation and hardware-based approach for systematic integration of Distributed Energy Resources (DERs) in advanced distribution grids with a special focus on resilience. Advanced distribution grids are considered to be functionally more sophisticated than traditional ones. The desirable advanced functionalities include – reconfiguration, real-time sensing, DERs, self-healing, etc. Some of these functionalities are currently being realized by microgrids as well. However, it is not feasible to convert each section of a distribution grid into a microgrid, but can be instituted with functionalities by design and controls at relatively lower costs. Interconnection of DERs, including energy storage to improve reliability and resilience is presented in details. Resilience of distribution grids is gaining greater importance and research towards enhancing it utilizing DERs is a key area. A real-time resilience framework with Analytical Hierarchical Processes (AHP) is developed that adapts to changing configurations, DERs, switching operations, grid conditions, etc. to provide an accurate and adoptable composite resilience metric. This framework and the composite resilience metric can play a unique role in operational and design decisions for operating future distribution grids. Advanced functionalities such as scenario-based reconfiguration in distribution grids are considered, with resilience metrics as performance criteria for choosing a preferred combination. Simulations are performed using Digital Real-Time Simulator (DRTS) and characterized response of flow battery validated against actual flow battery hardware is imposed to provide realistic results. Reconfiguration program is interfaced with DRTS for bi-directional real-time communication. Key contributions include enhancement of resilience of distribution grids using energy storage system under dynamic operating conditions.},
doi = {10.1016/j.ijepes.2019.01.024},
journal = {International Journal of Electrical Power and Energy Systems},
number = C,
volume = 109,
place = {United Kingdom},
year = {Mon Jul 01 00:00:00 EDT 2019},
month = {Mon Jul 01 00:00:00 EDT 2019}
}
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https://doi.org/10.1016/j.ijepes.2019.01.024
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