Modeling Load Dynamics to Support Resiliency-Based Operations in Low-Inertia Microgrids

Microgrids have repeatedly demonstrated the ability to provide uninterrupted service to critical end-use loads during normal outages, severe weather events, and natural disasters. While their ability to provide critical services is well documented, microgrids present a more dynamic operational environment than grid-connected distribution systems. The electrodynamics of a microgrid are commonly driven by the high inertia of rotating generators, which are common in many microgrids. In such high-inertia systems, the impact of end-use load electromechanical dynamics are often not examined. However, with the increased penetration of inverter-based generation with little or no inertia, it is necessary to consider the impact that the dynamics of the end-use loads have on the operations of microgrids, particularly for a resiliency-based operation. These operations include, but are not limited to, switching operations, loss of generating units, and the starting of induction motors. This paper examines the importance of including multi-state electromechanical dynamic models of the end-use load when evaluating the operations of low inertia microgrids, and shows that by properly representing their behavior, it is possible to cost effectively size equipment while supporting resilient operations of critical end-use loads.

[1]  Vijay Vittal,et al.  Performance-Based Linearization Approach for Modeling Induction Motor Drive Loads in Dynamic Simulation , 2017, IEEE Transactions on Power Systems.

[2]  P. Kundur,et al.  Power system stability and control , 1994 .

[3]  William Kersting,et al.  Distribution System Modeling and Analysis , 2001, Electric Power Generation, Transmission, and Distribution: The Electric Power Engineering Handbook.

[4]  C. W. Taylor,et al.  Model validation for the August 10, 1996 WSCC system outage , 1999 .

[5]  Cristina Gonzalez-Moran,et al.  Composite Loads in Stand-Alone Inverter-Based Microgrids—Modeling Procedure and Effects on Load Margin , 2010, IEEE Transactions on Power Systems.

[6]  Ruchi Singh,et al.  Evaluation of Representative Smart Grid Investment Grant Project Technologies: Distributed Generation , 2012 .

[7]  D. Kosterev,et al.  Dynamic Load Models: Where Are We? , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[8]  M. Pai,et al.  Transient algebraic circuits for power system dynamic modelling , 1993 .

[9]  K. P. Schneider,et al.  Volt-VAR optimization on American Electric Power feeders in Northeast Columbus , 2012, PES T&D 2012.

[10]  D. P. Chassin,et al.  Multi-State Load Models for Distribution System Analysis , 2011, IEEE Transactions on Power Systems.

[11]  R H Lasseter,et al.  CERTS Microgrid Laboratory Test Bed , 2011, IEEE Transactions on Power Delivery.

[12]  Bernard Lesieutre,et al.  Improving Reliability Through Better Models: Using Synchrophasor Data to Validate Power Plant Models , 2014, IEEE Power and Energy Magazine.

[13]  Shuai Lu,et al.  Load modeling and calibration techniques for power system studies , 2011, 2011 North American Power Symposium.

[14]  T. K. Saha,et al.  Investigation of Voltage Stability for Residential Customers Due to High Photovoltaic Penetrations , 2012, IEEE Transactions on Power Systems.

[15]  Penn Markham,et al.  Online Estimation of Steady-State Load Models Considering Data Anomalies , 2018, IEEE Transactions on Industry Applications.

[16]  Kevin P. Schneider,et al.  Three-phase unbalanced transient dynamics and powerflow for modeling distribution systems with synchronous machines , 2016 .

[17]  Yin Xu,et al.  Evaluating the Feasibility to Use Microgrids as a Resiliency Resource , 2017, IEEE Transactions on Smart Grid.

[18]  J. M. Noworolski,et al.  Generalized averaging method for power conversion circuits , 1990, 21st Annual IEEE Conference on Power Electronics Specialists.

[19]  Dmitry Kosterev,et al.  Voltage sag and recovery influence for modeling motor loads , 2014, 2014 IEEE PES T&D Conference and Exposition.

[20]  Harold Kirkham,et al.  Pure and applied metrology , 2016, IEEE Instrumentation & Measurement Magazine.

[21]  Turhan Demiray,et al.  Simulation of Power System Dynamics using Dynamic Phasor Models , 2008 .

[22]  Harold Kirkham,et al.  An Introduction to Goodness of Fit for PMU Parameter Estimation , 2017, IEEE Transactions on Power Delivery.

[23]  Alireza Rouhani,et al.  Real-Time Dynamic Parameter Estimation for an Exponential Dynamic Load Model , 2016, IEEE Transactions on Smart Grid.

[24]  N. Martins,et al.  Three-phase power flow calculations using the current injection method , 2000 .

[25]  Wei Tian,et al.  Networked Microgrids: Exploring the Possibilities of the IIT-Bronzeville Grid , 2017, IEEE Power and Energy Magazine.

[26]  Kevin P. Schneider,et al.  Simulation of inrush dynamics for unbalanced distribution systems using dynamic-phasor models , 2017 .

[27]  Benjamin Braconnier,et al.  Dynamic phasor modeling of doubly-fed induction machines including saturation effects of main flux linkage , 2012 .

[28]  J. L. Corwin,et al.  Impact assessment of the 1977 New York City blackout. Final report , 1978 .

[29]  D. Kosterev,et al.  Load modeling in power system studies: WECC progress update , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[30]  D. Kosterev,et al.  Phasor modeling approach for single phase A/C motors , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[31]  Xiaodong Liang A New Composite Load Model Structure for Industrial Facilities , 2016, IEEE Transactions on Industry Applications.

[32]  K. Schneider,et al.  GridLAB-D: An open-source power systems modeling and simulation environment , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[33]  N. Hatziargyriou,et al.  Making microgrids work , 2008, IEEE Power and Energy Magazine.