Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 6, Issue 4, Pages 2080-2087Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2014.2350913
Keywords
Frequency deviation; frequency disturbance recorder (FDR); frequency monitoring network system (FNET/GridEye); islanding; off-grid operation detection
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Funding
- Engineering Research Center Program of the National Science Foundation (NSF)
- Department of Energy under NSF [EEC-1041877]
- CURENT Industry Partnership Program
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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, because public and private sector services depend upon it. 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 a better overall response. Based on the measurement data acquired by the frequency disturbance recorders deployed in the North American power grids, an off-grid detection method is proposed and implemented. This method monitors the critical electrical loads and detects the transition of these loads from an on-grid operation to an off-grid operation, during which the loads are fed by an uninterrupted power supply or a backup generation system. The details of the detection algorithm are presented, and some case studies and off-grid detection scenarios are also provided to verify the effectiveness and robustness. This paper also presents the real-time implementation of this method and several effectively detected off-grid situations. Moreover, two visualization tools are developed to display the real-time system operation condition in an intuitive manor.
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