The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 22, 2022

Filed:

Sep. 09, 2019
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Ying Chen, Beijing, CN;

Yankan Song, Beijing, CN;

Shaowei Huang, Beijing, CN;

Chen Shen, Beijing, CN;

Assignee:

Tsinghua University, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/14 (2006.01); H02K 1/14 (2006.01); H02K 1/18 (2006.01); G06F 17/16 (2006.01); H02K 1/26 (2006.01);
U.S. Cl.
CPC ...
H02K 1/145 (2013.01); G06F 17/14 (2013.01); G06F 17/16 (2013.01); H02K 1/18 (2013.01); H02K 1/26 (2013.01);
Abstract

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.


Find Patent Forward Citations

Loading…