Time Series Power Flow Framework for the Analysis of FIDVR Using Linear Regression

Load shedding method aimed fast voltage recovery to prevent interference of FIDVR with UV relays

“…Methods Description FIDVR quantifying and modelling [1] Presenting an index for determining FIDVR severity using load's amount and short-circuit level [2] Using entropy and divergence of voltage density for determining FIDVR severity [3,4] Using ensemble-based learning model for determining FIDVR severity [5,6] Three-phase/three-sequence modelling of network for off-line FIDVR simulating [7] Time-series load flow for off-line FIDVR simulating [8] Presenting dynamic model based on Lyapunov function for IM loads during FIDVR [9] Presenting aggregate model including stall-mode parameters for IM loads during FIDVR Network-side methods for mitigating FIDVR [10,11] Study on the effect of injected reactive power from DGs on FIDVR severity [12][13][14] Determining the contribution of DGs for mitigating FIDVR using expert rules, drop of voltage/VAr, and optimization problem [15] Study on the effect of injected reactive power from Energy-storages on FIDVR severity [16][17][18][19][20] Allocation of VAr sources for mitigating FIDVR using trajectory sensitivity analysis, optimization algorithm, controllability covariance, mesh adaptive direct search algorithm and Voronoi diagram [21] Utilizing PV-STATCOM for mitigating FIDVR [22,23] Presenting voltage control strategy for VAr sources during FIDVR Load-side methods for mitigating FIDVR [24] Using voltage slope for LS against FIDVR [25] Improving UVLS relays using fuzzy controller against FIDVR [26] Using angle difference between voltage and current of loads for LS against FIDVR [27] Using active and reactive powers of loads for LS against FIDVR [28] Using imaginary part of admittance of feeder for LS against FIDVR [29] Local under-impedance load shedding method [30] Using changes in apparent power of IM loads for determining LS location [31] Optimization-based method for determining LS amou...…”

Investigating the effect of ambient temperature on fault‐induced delayed voltage recovery events

“…Using the simplified model in Fig. 2b, motor current (I), its electrical torque (T e ), and the reactive power consumption of motor (Q) are obtained by (1)- (4). Critical slip (s c ) is determined by differentiating T e with respect to s in (3).…”

“…In this condition, due to highpenetration of RACs, fault incidents in power system provoke an event called Fault-Induced Delayed Voltage Recovery (FIDVR), during which a fault-induced temporary voltage dip may delay the recovery of system voltage up to tens of seconds after a fault clearing at transmission, sub-transmission, or distribution levels [3]. This phenomenon is mainly due to the low-inertia and constant-torque induction motors (mostly single-phase motors in RACs) in which the voltage dip after a fault incident may cause them to stall, and because of drawing a tremendous amount of reactive power from the grid in the stall regime, a fast recovery of system voltage is prevented [4].…”

“…Due to the absorption of the significant amount of reactive power in the stall regime, the temperature of the compressor increases, and therefore RAC's thermal protection relay trips after its adjusted time, which takes often 1-20 s [4]. After that, due to the significant load loss, generation units tripped as a secondary effect of FIDVR event, and finally, reconnection of RACs after a few minutes can lead to a widespread blackout [5].…”

Smart Microgrid Educational Laboratory: An Integrated Electric and Communications Infrastructures Platform

“…These types of studies focus on the interaction of electric machines with the power network. For example, the unexpected delay in the recovery of voltage due to removing an external fault which is known as fault induced delayed voltage recovery (FIDVR) phenomenon, can be easily observed and studied using the inductive motors in the laboratory [44][45].…”