Real-time FPGA-based co-simulation of large scale power systems

Yang, Conghuan (2018). Real-time FPGA-based co-simulation of large scale power systems. University of Birmingham. Ph.D.

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Abstract

With the rapid increase of size and complexity of modem electrical power systems, 1) the simulation accuracy and 2) the capability of simulating large power systems have become two conflicting objectives. This thesis proposes a novel FPGA-RTDS co-simulator to meet these two objectives.

As the basis of the co-simulator, a library of power system components is developed in FPGA, including the most commonly used power system elements and control systems. The proposed cosimulator combines the advantages of 1) the paralleled architecture, high logic density and high clock speed from FPGA and 2) better modelling flexibility and user-friendly GUI from RTDS together. Multi-FPGA structure is introduced to further improve the simulation capability for large power systems. The use of detailed EMT models in the whole system guarantees the accuracy of simulation and eliminates the potential interface error. Deeply pipelined and massively paralleled algorithms have been designed to maximize time and hardware efficiency. The modular design significantly improves the system expandability.

Case studies including large scale power system with more than 4000 nodes are presented to demonstrate the simulation capability. Comparisons are made with SIMULINK and RTDS to verify the accuracy of the proposed co-simulator.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
Supervisor(s):
Supervisor(s)EmailORCID
Zhang, Xiao-PingUNSPECIFIEDUNSPECIFIED
Tricoli, PietroUNSPECIFIEDUNSPECIFIED
Licence:
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Engineering, Department of Electronic, Electrical and Systems Engineering
Funders: None/not applicable
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
URI: http://etheses.bham.ac.uk/id/eprint/8037

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