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A Distributed Power System Control Architecture for Improved Distribution System Resiliency

Authors :
Kevin P. Schneider
Stuart Laval
Jacob Hansen
Ronald B. Melton
Leslie Ponder
Lance Fox
John Hart
Joshua Hambrick
Mark Buckner
Murali Baggu
Kumaraguru Prabakar
Madhav Manjrekar
Somasundaram Essakiappan
Leon M. Tolbert
Yilu Liu
Jiaojiao Dong
Lin Zhu
Aaron Smallwood
Avnaesh Jayantilal
Chris Irwin
Guohui Yuan
Source :
IEEE Access, Vol 7, Pp 9957-9970 (2019)
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

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.

Details

Language :
English
ISSN :
21693536
Volume :
7
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.351bac23423a42259715e559231f537e
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2019.2891368