Load modeling assumptions: What is accurate enough?

This paper presents an elegant method for determining the simplest model of a power system electrical/mechanical load that will suffice for dynamic frequency power system studies and closed-loop simulation work. The strategy behind this technique is to supply the simplest load model possible that gives sufficiently accurate results for the goals of each unique modeling effort. The paper identifies the frequency characteristics of several different load types. It also identifies the level of load model detail required for testing typical power management systems, contingency-based load-shedding systems, frequency-based load-shedding systems, governor control systems, island/grid/unit autosynchronization systems, and exciter control systems. The paper describes how to lump loads without loss of fidelity, when an induction motor needs to be modeled as a single-cage or double-cage motor model, what sort of mechanical load model is appropriate, when we can assume zero inertia for a direct-on-line type of load, and how to verify the turbine/generator inertia and load inertia from field tests. This paper concludes with a simple reference that engineers can use to specify the level of detail required when modeling industrial power system loads.

[1]  S. Woodruff,et al.  Stability analysis and assessment of integrated power systems using RTDS , 2005, IEEE Electric Ship Technologies Symposium, 2005..

[2]  Mohan V. Aware,et al.  Stability Analysis of Symmetrical Induction Motor with Parameter Variation , 2009, 2009 Second International Conference on Emerging Trends in Engineering & Technology.

[3]  Greg Zweigle,et al.  Case study: An adaptive underfrequency load-shedding system , 2013, Industry Applications Society 60th Annual Petroleum and Chemical Industry Conference.

[4]  P. Wilson,et al.  Aggregation of Induction Motors Based on their Specifications , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[5]  G. Sarkar,et al.  Induction machine fault diagnosis using microcontroller and Real Time Digital Simulation unit , 2012, 2012 IEEE Students' Conference on Electrical, Electronics and Computer Science.

[6]  L. Sainz,et al.  Study of aggregate models for squirrel-cage induction motors , 2005, IEEE Transactions on Power Systems.

[7]  L. Sainz,et al.  Analysis of the Induction Machine Parameter Identification , 2002, IEEE Power Engineering Review.

[8]  Mohamed Elleuch,et al.  Study of start up for double squirrel-cage induction motor with discret frequency control , 2009, 2009 6th International Multi-Conference on Systems, Signals and Devices.

[9]  S. M. H. Mousavi,et al.  The comparison of single-cage and double-cage induction generators at variable frequencies , 2012, 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).