TY - JOUR
T1 - A distributed power system control architecture for improved distribution system resiliency
AU - Schneider, Kevin P.
AU - Laval, Stuart
AU - Hansen, Jacob
AU - Melton, Ronald B.
AU - Ponder, Leslie
AU - Fox, Lance
AU - Hart, John
AU - Hambrick, Joshua
AU - Buckner, Mark
AU - Baggu, Murali
AU - Prabakar, Kumaraguru
AU - Manjrekar, Madhav
AU - Essakiappan, Somasundaram
AU - Tolbert, Leon M.
AU - Liu, Yilu
AU - Dong, Jiaojiao
AU - Zhu, Lin
AU - Smallwood, Aaron
AU - Jayantilal, Avnaesh
AU - Irwin, Chris
AU - Yuan, Guohui
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - Electric distribution systems around the world are seeing an increasing number of utility-owned and non-utility-owned (customer-owned) intelligent devices and systems being deployed. New deployments of utility-owned assets include self-healing systems, microgrids, and distribution automation. Non-utility-owned assets include solar photovoltaic generation, behind-the-meter energy storage systems, and electric vehicles. While these deployments provide potential data and control points, the existing centralized control architectures do not have the flexibility or the scalability to integrate the increasing number or variety of devices. The communication bandwidth, latency, and the scalability of a centralized control architecture limit the ability of these new devices and systems from being engaged as active resources. This paper presents a standards-based architecture for the distributed power system controls, which increases operational flexibility by coordinating centralized and distributed control systems. The system actively engages utility and non-utility assets using a distributed architecture to increase reliability during normal operations and resiliency during extreme events. Results from laboratory testing and preliminary field implementations, as well as the details of an ongoing full-scale implementation at Duke Energy, are presented.
AB - Electric distribution systems around the world are seeing an increasing number of utility-owned and non-utility-owned (customer-owned) intelligent devices and systems being deployed. New deployments of utility-owned assets include self-healing systems, microgrids, and distribution automation. Non-utility-owned assets include solar photovoltaic generation, behind-the-meter energy storage systems, and electric vehicles. While these deployments provide potential data and control points, the existing centralized control architectures do not have the flexibility or the scalability to integrate the increasing number or variety of devices. The communication bandwidth, latency, and the scalability of a centralized control architecture limit the ability of these new devices and systems from being engaged as active resources. This paper presents a standards-based architecture for the distributed power system controls, which increases operational flexibility by coordinating centralized and distributed control systems. The system actively engages utility and non-utility assets using a distributed architecture to increase reliability during normal operations and resiliency during extreme events. Results from laboratory testing and preliminary field implementations, as well as the details of an ongoing full-scale implementation at Duke Energy, are presented.
KW - Distributed control
KW - microgrids
KW - power distribution
KW - power system protection
KW - smart grids
UR - http://www.scopus.com/inward/record.url?scp=85061099953&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2891368
DO - 10.1109/ACCESS.2019.2891368
M3 - Article
AN - SCOPUS:85061099953
SN - 2169-3536
VL - 7
SP - 9957
EP - 9970
JO - IEEE Access
JF - IEEE Access
M1 - 8618618
ER -