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Title: Resilient Cyber Infrastructure for the Minimum Wind Curtailment Remedial Control Scheme

Journal Article · · IEEE Transactions on Industry Applications
 [1];  [1];  [2];  [1];  [1];  [1];  [3]
  1. Washington State Univ., Pullman, WA (United States)
  2. Dominion Power, Richmond, VA (United States)
  3. Reseau de Transport d'Electricite, Paris (France)

Integration of Distributed Energy Resources (DER) 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, uncertainty and variability. In changing operating conditions with wind uncertainty, 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 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 (RIAPS) 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. In conclusion, a cyber physical test bed utilizing Real Time Digital Simulator (RTDS), Phasor Measurement Units (PMUs), and BeagleBones has been used for the online simulation and validation of the developed cyber-resilient RAS.

Research Organization:
Vanderbilt Univ., Nashville, TN (United States)
Sponsoring Organization:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
Grant/Contract Number:
AR0000666
OSTI ID:
1483869
Report Number(s):
DOE-VANDERBILT-0000666-24.pdf
Journal Information:
IEEE Transactions on Industry Applications, Vol. 55, Issue 1; ISSN 0093-9994
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English