J. Jatskevich, University of British Columbia; O. Wasynczuk, Purdue University; C. E. Lucas, E. A. Walters, PC Krause and Associates, Inc.
An algorithmic method of developing the state equations of complex power circuits and systems has recently been developed. In this approach, referred to as he Automated State Model Generator (ASMG), the system is described by the pertinent branch parameters and the circuit topology; however, unlike existing circuit-based approaches, the difference equations are not implemented at the branch level. Instead, the composite system state equations are established automatically and updated dynamically for each new topology of the switching network. Since the state equations are available, linearization, eigensystem analysis, and model-order reduction can be performed quickly and conveniently at the system level. In addition, it becomes possible to identify the operational modes of converters and inverters based on the cyclically repeated sequence of topologies. The ASMG includes a built-in switching logic for common power-electronic switching devices. The proposed simulation approach is particularly effective when modeling advanced power electronic systems that include special-purpose multi-phase electrical machines, transformers, and other components that are not available in the libraries of commonly used circuit simulators. An ASMG toolbox that is compatible with MATLAB/SIMULINK has been developed and used to implement a detailed simulation of a 6-phase generator/rectifier system.
Proceedings 6th International Conference of Computational Methods for the Solution of Electrical and Electromagnetic Engineering Problems, September 10-12, 2003, Split, Croatia, WIT Press, pp. 156-167.