Active Stabilization of Line-Regulating Converters with Constant Power Loads
A control design procedure is described for line-regulating converters in dc microgrids and distribution systems with constant power loads. The controller is stabilized using the backpropagation through time algorithm with truncated state trajectories. A method of model discretization based on 4th order Runge-Kutta numerical integration is used to convert the nonlinear converter model into a representation the meets the requirements of the training algorithm. Simulation experiments are performed to demonstrate the controller performance in a variety of ideal and nonideal conditions.
J. A. Mueller et al., "Active Stabilization of Line-Regulating Converters with Constant Power Loads," Proceedings of the 49th North American Power Symposium (2017, Morgantown, WV), Institute of Electrical and Electronics Engineers (IEEE), Sep 2017.
The definitive version is available at https://doi.org/10.1109/NAPS.2017.8107237
49th North American Power Symposium (2017: Sep. 17-19, Morgantown, WV)
Electrical and Computer Engineering
Keywords and Phrases
Backpropagation Algorithms; Dynamic Programming; Numerical Methods; Power Converters; Runge Kutta Methods; Back-Propagation Through Time; Backpropagation Through Time Algorithms; Controller Performance; Distribution Systems; Micro Grid; Non-Ideal Conditions; Numerical Integrations; Value-Gradient Learning; Backpropagation; DC Microgrids
International Standard Book Number (ISBN)
Article - Conference proceedings
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