Karrar, Abdelrahman A.
Eltom, Ahmed H.; Disfani, Vahid R.
College of Engineering and Computer Science
University of Tennessee at Chattanooga
Place of Publication
This research develops and implements a method for decoupling real-time power networks using general-purpose personal computers. The industry of real-time simulation of power networks is mature, with few prominent players dominating the market. The implementation, however, is limited to specialized high-end hardware and software. This endeavor serves researchers and small-scale users interested in investigating real-time applications without making a significant investment. The methodology sheds additional light on the inner workings of real-time computing, particularly parallel processing via approaches like those published in scientific papers. The described method can be implemented on a PC with multiple cores using relatively few resources other than MATLAB/Simulink and a C++ development environment. The method was first evaluated using the IEEE 13 bus system, then implemented on the IEEE 123 bus system. It was found to require three processing cores to avoid overruns, compared to prior attempts on dedicated real-time hardware, which needed five cores.
M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.
Decoupling (Mathematics); Electric power systems--Mathematical models
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Taha, Rua, "Decoupling power network equations for real-time computing applications on a personal computer" (2021). Masters Theses and Doctoral Dissertations.