Tsinghua University

Shaowei Huang

Ying Li

Chen Shen

Yankan Song

Zhendong Tan

Shilin Gao

The present disclosure provides an optimization method, a unit, and an electronic device of a shifted frequency (SF)-based electromagnetic transient simulation, comprising: determining a current amplitude and a voltage frequency based on a node voltage and a branch current calculated from a shifted frequency on a basis of a current time step; determining an optimal shifted frequency of the current time step based on the current amplitude and the voltage frequency; and updating the shifted frequency by adopting the optimal shifted frequency of the current time step for calculating a node voltage and a branch current of the next time step. The method, the unit, and the electronic device provided in the present disclosure may gradually update and optimize the shifted frequency in the simulation process so to enable the shifted frequency to reach the best, thus ensuring the accuracy of output current and voltage simulation results.

Optimization method, unit, and electronic device of shifted frequency (SF)-based electromagnetic transient simulation

The present disclosure provides a method for improving the computational efficiency of an electromagnetic transients program (EMTP-type) phase domain synchronous machine model. The method comprises: acquiring a traditional phase domain synchronous machine model; acquiring matrix relations between mutual inductance matrices of stator windings and rotor windings according to a trigonometric transformation equation; substituting the matrix relations into the original expression of Rand the original formulation of e(t), respectively, and deriving to obtain a simplified formulation of the equivalent resistance matrix Rand a simplified formulation of the total history term e(t); and acquiring an efficient phase domain synchronous machine model. According to the embodiment of the disclosure, in the provided model, the equivalent resistance matrix of the phase domain synchronous machine model and the matrix used in the calculation of the history term are converted into constant sparse matrices, thereby improving the calculation efficiency of the model.

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Beijing, China

Shaowei Huang