Quantifying Transmission Fault Voltage Influence and Its Potential Impact on Distributed Energy Resources

With increasing shares of distributed energy resources (DERs) on the electric grid, the power system is transitioning from having fewer large generators with relatively simple dynamics to many small generators with aggregate responses to system disturbances that are difficult to predict. In particular, voltage fluctuations might cause large losses of generation via DER operation/interconnection compliance. To understand orchestral DER dynamics, a first step is to determine the influence of a disturbance on the overall bulk power system. This work introduces metrics that allow for the classification and comparison of a variety of system faults with respect to their influences on voltage profiles. These metrics are applied to standardized fault simulations on the Western Interconnection Paths with a full-scale Positive Sequence Load Flow model. The results are presented with a highlight on Path 61, which has the potential for DER generation reduction exceeding the current credible contingency of a double Palo Verde loss.

[1]  Luis Gallego,et al.  Analysis of voltage sags propagation in distribution grids using a SI epidemic model , 2017, 2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA).

[2]  Armando Salazar,et al.  Simulations and evaluation of FIDVR using PMU data , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[3]  Roger Salas,et al.  Distributed energy resources challenges for utilities , 2015, 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC).

[4]  D. Kosterev,et al.  Load Modeling in WECC , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[5]  David P. Chassin,et al.  Fault Induced Delayed Voltage Recovery (FIDVR) model validation , 2016, 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D).

[6]  Hao Zhu,et al.  Dependency Analysis and Improved Parameter Estimation for Dynamic Composite Load Modeling , 2017, IEEE Transactions on Power Systems.

[7]  Mohammad Hassan Moradi,et al.  Locating the source of voltage sags: Full review, introduction of generalized methods and numerical simulations , 2017 .

[8]  Matti Lehtonen,et al.  Voltage sag distributions caused by power system faults , 2003 .

[9]  Vijay Vittal,et al.  Slow Coherency Based Cutset Determination Algorithm for Large Power Systems , 2010, IEEE Transactions on Power Systems.

[10]  Nicholas W. Miller,et al.  Western Wind and Solar Integration Study Phase 3 – Frequency Response and Transient Stability , 2014 .

[11]  Benjamin Kroposki,et al.  Fault current contribution from single-phase PV inverters , 2011, 2011 37th IEEE Photovoltaic Specialists Conference.

[12]  Richard J. Bravo,et al.  DER volt-VAr and voltage ride-through needs to contain the spread of FIDVR events , 2015, 2015 IEEE Power & Energy Society General Meeting.

[13]  Dmitry Kosterev,et al.  System model validation studies in WECC , 2010, IEEE PES General Meeting.

[14]  Timothy C. Green,et al.  Fault response of inverter interfaced distributed generators in grid-connected applications , 2014 .