Non-intrusive load event detection algorithm based on DWT

Pu Miao; Chun Wen

doi:10.1117/12.2638636

29 April 2022 Non-intrusive load event detection algorithm based on DWT

Pu Miao, Chun Wen

Proceedings Volume 12255, 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022); 122550W (2022) https://doi.org/10.1117/12.2638636
Event: 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), 2022, Chongqing, China

Abstract

In order to achieve high-efficiency power management of residential electricity, household load working status needs to be accurately monitored to further improve the utilization rate of power resources.This paper studies the non-intrusive household load event detection method, and improves the optimization detection algorithm to improve the accuracy of load recognition in the complex power system environment of the family.A method based on the second-order differential modulus ratio of wavelet transform is proposed to accurately locate the location of the switching point and its properties. The event detection algorithm is verified by experiments with typical household electrical appliances data. The accuracy of this method is higher than the traditional wavelet modulus maximum method, and also has good accuracy under the background of multiple electrical appliances.

Citation Download Citation

Pu Miao and Chun Wen "Non-intrusive load event detection algorithm based on DWT", Proc. SPIE 12255, 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), 122550W (29 April 2022); https://doi.org/10.1117/12.2638636

ACCESS THE FULL ARTICLE

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