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A Distributed Power System Control Architecture for Improved Distribution System Resiliency

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

ISSN :
21693536
Volume :
7
Database :
OpenAIRE
Journal :
IEEE Access
Accession number :
edsair.doi.dedup.....e145634b1db1a747d3be2a808dae379b
Full Text :
https://doi.org/10.1109/access.2019.2891368