Mr. Bin Zhang Profile

Bin Zhang

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 25 September 2023 Paper

An online measurement method of transformer capacity based on cyclic BP model

Bin Zhang, Meijie Liu, Linqiao Wu, Lantao Jing, Meiling Bao, Jinkuo Li, Ye Zhang, Liang Wang

Proceedings Volume 12788, 127883L (2023) https://doi.org/10.1117/12.3004310

KEYWORDS: Data modeling, Error analysis, Data analysis, Transformers, Statistical modeling, Education and training, Lithium, Neurons, Neural networks, Power grids

Read Abstract +

The online detection of transformer capacity has important practical significance for the maintenance of the interests of electric power enterprises and the safe and stable operation of power grid. Due to the error of transformer operating environment, operating state or acquisition device, there is a lot of noise in the capacity detection data, which makes the on-line calculation of short-circuit impedance fluctuate and affects the capacity detection result. Based on the analysis of current data cleaning methods, a cyclic cleaning method based on BP neural network was proposed to clean historical data unsupervised and train the cleaning model synchronously. Through the trained cleaning model, online cleaning of detected data was realized. The simulation results show that the short-circuit impedance calculated by the online transformer capacity detection method based on the cyclic BP model tends to be stable, and the calculation error is maintained around 5%. Cyclic BP model is an unsupervised and intelligent data cleaning method, which can effectively improve the influence of noise data on detection results and improve the accuracy of transformer capacity detection.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years