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Title: Design and Implementation of Real-Time Off-Grid Detection Tool Based on FNET/GridEye

Real-time situational awareness tools are of critical importance to power system operators, especially during emergencies. The availability of electric power has become a linchpin of most post disaster response efforts as it is the primary dependency for public and private sector services, as well as individuals. Knowledge of the scope and extent of facilities impacted, as well as the duration of their dependence on backup power, enables emergency response officials to plan for contingencies and provide better overall response. Based on real-time data acquired by Frequency Disturbance Recorders (FDRs) deployed in the North American power grid, a real-time detection method is proposed. This method monitors critical electrical loads and detects the transition of these loads from an on-grid state, where the loads are fed by the power grid to an off-grid state, where the loads are fed by an Uninterrupted Power Supply (UPS) or a backup generation system. The details of the proposed detection algorithm are presented, and some case studies and off-grid detection scenarios are also provided to verify the effectiveness and robustness. Meanwhile, the algorithm has already been implemented based on the Grid Solutions Framework (GSF) and has effectively detected several off-grid situations.
 [1] ;  [1] ;  [2] ;  [3] ;  [3] ;  [3] ;  [4]
  1. University of Tennessee, Knoxville (UTK)
  2. University of Tennessee (UTK) and Oak Ridge National Laboratory (ORNL)
  3. ORNL
  4. U.S. Department of Energy
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Conference: 2014 IEEE PES General Meeting, National Harbor, MD, USA, 20140727, 20140731
Research Org:
Oak Ridge National Laboratory (ORNL)
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Country of Publication:
United States