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Role of microphasor measurement unit Chapter | 7  195


                comparing the SCADA data consistency with µPMU data that uses a sep-
                arate independent cyber-network. Cyberattacks can only go undetected if
                both the networks are hacked in exact coordination, which is an
                extremely difficult task. The µPMU can also decide cyberattack instants
                by identifying unanticipated operations or change in topology through its
                synchronized measurements.
             6. Fault-induced delayed voltage recovery (FIDVR) detection: The modern
                distribution system has numerous number of induction motors. When
                there is low voltage due to a fault in the grid, the induction motors get
                stalled. Just after the fault is cleared, these stalled motors consume a
                large current, which does not allow the distribution voltage recover in a
                timely manner. Hence, the motors get tripped, and the voltage finally
                comes to a nominal value. This is known as FIDVR [29]. The excessive
                current flow in the motor can reduce the life of the motors. FIDVR
                causes voltage sag for several of seconds, and when the induction motors
                trip, it causes a sudden over voltages due to the capacitors that are used
                to boost up the voltage in the FIDVR condition. This sudden overvoltage
                affects all the consumers. Hence, FIDVR mitigation is a major issue.

                Through its rapid data monitoring capability and suitable time sampling,
             µPMU can come to aid in detecting and diagnosing FIDVR. Although instal-
             ling µPMU just for FIDVR may not justify its cost, FIDVR diagnosis can be
             incorporated as an additional function of the µPMU.
                The µPMU requirements for the above applications in terms of resolution,
             accuracy, latency, and continuity are tabulated in Table 7.1 [12]. However,
             the applications of µPMU cannot be confined to the above applications only.
             As the modern distribution is continuously evolving, various applications of
             µPMU are emerging, which is increasing the foothold of µPMU in the distri-
             bution system. Some other applications involve control of voltage in the
             power system (other than the islanded system), health monitoring of various
             distribution system equipment, oscillation detection, power quality monitor-
             ing, etc. The extent of application of µPMU in making various distributions
             for situation awareness will get more justified with increase in time.


             7.6  Open microphasor measurement unit data
             for research study
             To advance the research of µPMU in distribution system application, a data
             set of µPMU data is provided freely by LBNL [30,31]. The µPMU has a
             sampling rate of 512 samples per cycle. Twelve streams of 120 Hz precise
             values with a GPS time accuracy up to 100 ns are being provided by each
             µPMU. The data consists of three-phase current and voltage magnitude along
             with the phase angle acquired by three µPMUs at LBNL from different buses
             in distribution system. The data provided is for the time frame between
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