Summary
Monitoring and control of power system dynamics in the control room has become an important issue for power systems dominated by inverter interfaced resources characterized by faster dynamics. For these systems it is also important to track the dynamics during disturbances and faults. Traditional state estimators are not able to track the dynamics and especially during disturbance conditions, including fault conditions. This paper describes implementation and field experience of a Distributed Quasi-dynamic State Estimator (DQSE) which tracks the system dynamic state during normal as well as disturbance conditions, including during fault conditions. DQSE tracks the dynamic state of the system at a rate of once per cycle. At this rate, the dynamics of the power system are well captured; note that electromechanical dynamics are relatively slow and are well captured at this rate; dynamics from operation of inverters are dominated by the controllers of the inverters which are faster than electromechanical transients and they are also well captured by a rate of once per cycle.
Read more Read lessThe DQSE is a dynamic state estimator based on (a) dynamic phasor domain model of each device in the power system, i.e. each device is represented with a set of algebraic and differential equations in terms of all the states of the device (terminal voltages and internal states), and (b) using all available measurement data, i.e. data from phasor measurement units (PMU), numerical relays with or without GPS synchronization, DFR, Merging Units and other IEDs that may be available in substations. The paper presents the object-oriented implementation of the DQSE and presents the capabilities of the new dynamic state estimator.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C2_10723_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | United States of America |
| Study committees | |
| File size | 896 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
MELIOPOULOS Sakis - Georgia Tech, United States of America; COKKINIDES George - Georgia Tech, United States of America; ELMOUDI Ramadan - NYPA, United States of America; BLACK Clifton - Southern Company, United States of America; KUMPF Alec - Southern Company, United States of America
Keywords
PMU - Dynamic Phasors - Real-Time Model - State Estimation - Visualization - Animation