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. 04, 2020

Filed:

Oct. 18, 2017
Applicants:

Xiao LU, Nanjing, CN;

Xinan Wang, Santa Clara, CA (US);

Di Shi, San Jose, CA (US);

Zhiwei Wang, Santa Clara, CA (US);

Jianyu Luo, Nanjing, CN;

Chunlei Xu, Nanjing, CN;

Inventors:

Xiao Lu, Nanjing, CN;

Xinan Wang, Santa Clara, CA (US);

Di Shi, San Jose, CA (US);

Zhiwei Wang, Santa Clara, CA (US);

Jianyu Luo, Nanjing, CN;

Chunlei Xu, Nanjing, CN;

Assignee:

GEIRI North America, San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01R 19/25 (2006.01); G01R 35/00 (2006.01);
U.S. Cl.
CPC ...
G01R 35/005 (2013.01); G01R 19/2513 (2013.01);
Abstract

Data quality of Phasor Measurement Unit (PMU) is receiving increasing attention as it has been identified as one of the limiting factors that affect many wide-area measurement system (WAMS) based applications. In general, existing PMU calibration methods include offline testing and model based approaches. However, in practice, the effectiveness of both is limited due to the very strong assumptions employed. This invention presents a novel framework for online error detection and calibration of PMU measurement using density-based spatial clustering of applications with noise (DBSCAN) based on much relaxed assumptions. With a new problem formulation, the proposed data mining based methodology is applicable across a wide spectrum of practical conditions and one side-product of it is more accurate transmission line parameters for the energy management system (EMS) database and protective relay settings. Case studies are presented to demonstrate the effectiveness of the proposed method.


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