| Title | Situational Awareness of Power System Stabilizers’ Performance in Energy Control Centers |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Arunagirinathan, Paranietharan, Venayagamoorthy, Ganesh K. |
| Conference Name | 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
| Keywords | composability, damping, Fuzzy logic, fuzzy logic system, Indexes, Oscillators, Phasor Measurement Unit, phasor measurement units, power system stability, power system stabilizer, Predictive Metrics, pubcrawl, Resiliency, situational awareness, synchronous generators |
| Abstract | Undamped power system oscillations are detrimental to stable and security of the electric grid. Historically, poorly damped low frequency rotor oscillations have caused system blackouts or brownouts. It is required to monitor the oscillation damping controllers such as power system stabilizers' (PSS) performance at energy control centers as well as at power plant control centers. Phasor measurement units (PMUs) based time response and frequency response information on PSS performance is collected. A fuzzy logic system is developed to combine the time and frequency response information to derive the situational awareness on PSS performance on synchronous generator's oscillation(s). A two-area four-machine benchmark power system is simulated on a real-time digital simulator platform. Fuzzy logic system developed is evaluated for different system disturbances. Situational awareness on PSS performance on synchronous generator's oscillation(s) allows the control center operator to enhance the power system operation more stable and secure. |
| DOI | 10.1109/FUZZ48607.2020.9177608 |
| Citation Key | arunagirinathan_situational_2020 |
Situational Awareness of Power System Stabilizers’ Performance in Energy Control Centers