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This content will become publicly available on August 17, 2018

Title: Decentralized State Estimation and Remedial Control Action for Minimum Wind Curtailment Using Distributed Computing Platform

Intermittency of wind energy poses a great challenge for power system operation and control. Wind curtailment might be necessary at the certain operating condition to keep the line flow within the limit. Remedial Action Scheme (RAS) offers quick control action mechanism to keep reliability and security of the power system operation with high wind energy integration. In this paper, a new RAS is developed to maximize the wind energy integration without compromising the security and reliability of the power system based on specific utility requirements. A new Distributed Linear State Estimation (DLSE) is also developed to provide the fast and accurate input data for the proposed RAS. A distributed computational architecture is designed to guarantee the robustness of the cyber system to support RAS and DLSE implementation. The proposed RAS and DLSE is validated using the modified IEEE-118 Bus system. Simulation results demonstrate the satisfactory performance of the DLSE and the effectiveness of RAS. Real-time cyber-physical testbed has been utilized to validate the cyber-resiliency of the developed RAS against computational node failure.
 [1] ; ORCiD logo [1] ;  [1] ;  [1] ;  [2]
  1. Washington State Univ., Pullman, WA (United States)
  2. Reseau de transport d'electricite, Versailles (France)
Publication Date:
Report Number(s):
Journal ID: ISSN 0093-9994
Grant/Contract Number:
Accepted Manuscript
Journal Name:
IEEE Transactions on Industry Applications
Additional Journal Information:
Journal Volume: 53; Journal Issue: 6; Journal ID: ISSN 0093-9994
Research Org:
Vanderbilt Univ., Nashville, TN (United States)
Sponsoring Org:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
Country of Publication:
United States
17 WIND ENERGY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Remedial Action Scheme; Decentralized State Estimation; Distributed Computing; Cyber-Physical Systems; Wind Energy
OSTI Identifier: