Back to Search Start Over

Resilient Cyber Infrastructure for the Minimum Wind Curtailment Remedial Control Scheme.

Authors :
Krishnan, Vignesh Venkata Gopala
Gopal, Shyam
Liu, Ren
Askerman, Alex
Srivastava, Anurag
Bakken, David
Panciatici, Patrick
Source :
IEEE Transactions on Industry Applications. Jan-Feb2019, Vol. 55 Issue 1, p943-953. 11p.
Publication Year :
2019

Abstract

Integration of distributed energy resources has been significantly increasing in the electric power grid. One of the predominant renewable energy sources, wind energy, possess a significant challenge for grid operations, due to its intermittency, uncertainity, and variability. In changing operating conditions with wind uncertainity, part of wind may need to be curtailed for the safe utilization of the transmission system. In order to minimize the wind power curtailment and to keep the power flow on a transmission line under limits, a cyber resilient distributed remedial action scheme (DRAS) is developed in this paper. The remedial action scheme (RAS) is formulated as an optimization problem, considering the real-power flow constraints of the transmission lines and given wind variability. In this paper, DRAS is developed to operate even with failures in the computing nodes to make it cyber-resilient. Distributed simplex algorithm is used for optimization in the distributed RAS. The DRAS is implemented in a decentralized platform called Resilient Information Architecture Platform for Smart Grid to enable cyber resiliency of DRAS. The effectiveness of the proposed approach is validated through offline simulations of the New England 39-bus system and online simulations of IEEE 14-bus test system. A cyber–physical testbed utilizing real time digital simulator, phasor measurement units, and BeagleBones has been used for the online simulation and validation of the developed cyber-resilient RAS. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00939994
Volume :
55
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
133667754
Full Text :
https://doi.org/10.1109/TIA.2018.2868257