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Thesis Defence: Exponential Integrator Based Voltage Behind Reactance Model for Numerically Efficient Electromagnetic Transient Simulation of Induction Machine Drive Systems
June 10 at 1:00 pm - 5:00 pm
Dingxuan Yue, supervised by Dr. Liwei Wang will defend their thesis titled “Exponential Integrator Based Voltage Behind Reactance Model for Numerically Efficient Electromagnetic Transient Simulation of Induction Machine Drive Systems” in partial fulfillment of the requirements for the degree of Master of Applied Science in Electrical Engineering.
An abstract for Dingxuan Yue’s thesis is included below.
Defences are open to all members of the campus community as well as the general public. Registration is not required for in-person defences.
Abstract
In recent years, as motor-combined systems are increasingly applied in industrial automation, such as in renewable energy and electric vehicles, the demands for performance analysis and validation for motor-integrated systems have grown significantly. A newly proposed approach, exponential integrator algorithm, has been validated to have great numerical accuracy and computational efficiency across various configurations when dealing with power electronic systems simulation in previous works. However, the research gap is that the application of this state-of-the-art algorithm in terms of induction machine model-network simulations are unexplored. Under this background, this work proposed a high-order, variable-step EI-VBR (Exponential Integrator-Voltage Behind Reactance) approach which retains the desirable efficiency and stability of EI algorithm and the structural simplicity of the VBR model. Additionally, several optimization techniques are incorporated to enable precomputation, which is one of the key features of EI, further enhancing the overall simulation efficiency. By applying EI-VBR on typically general case studies, the simulation results showcase its important advantages. The comparison of other widely used ode solvers from popular commercial software, such as SimPower System/Simulink and PLECS, illustrates the proposed EI-VBR model outperforms all the examined methods in terms of computational efficiency while maintaining great numerical accuracy. Under non-stiffness conditions, the EI-VBR model achieves up to a 20-fold speedup compared to the fastest solvers from commercial software. As the system stiffness increases, its advantages become more pronounced, achieving at least a 50-fold simulation speedup.
