Real Time Estimation of Survivability Margin using Dynamic State Estimation in Autonomous Microgrid

Penetration of Distributed Energy Resources (DER) power into the network is increasing exponentially because of its flexibility in operation and control. Prime movers of the DER are bound to follow its fuel map. The survivability margin index is estimated in real-time for all the DERs in the network using the Dynamic State Estimator (DSE). With the advent of the Micro Phasor Measurement Unit, the DSE can be performed in Microgrids. In this paper, the Unscented Kalman Filter (UKF) is considered for estimating the survivability margin of the DERs. The analysis has been extended for different prime movers, i.e., reciprocating engines, single shaft gas turbine prime movers, and two-shaft gas turbine prime movers. It has been observed that a two-shaft gas turbine with UKF -DSE has a better survivability margin and prevents microgrid blackout compared to other configurations.