A Non-Intrusive Motor Load Identification Method Based on Load Transient Features
-
Published:2022-03-03
Issue:
Volume:10
Page:
-
ISSN:2296-598X
-
Container-title:Frontiers in Energy Research
-
language:
-
Short-container-title:Front. Energy Res.
Author:
Liu Yongqiang,Liang Zhaowen,Huang Jiajie
Abstract
Motor load accounts for more than 50% of the total electric power load in China. Identifying the load of induction motors non-intrusively is of great importance for the design of energy-saving schemes and formulation of demand-side response strategies in industrial enterprises. Based on the transient mechanism of the induction motor, the present work first defines some motor load start-up transient feature parameters with clear physical meanings and proposes a set of non-intrusive motor load identification methods applicable to industrial settings. In addition, a case study that applied the proposed method to the industrial setting was performed to verify its effectiveness. The results showed that the proposed method can overcome the problem of misidentification caused by the fact that the start-up transient process is affected by its mechanical load characteristics and hence can identify motors with similar running power and has good anti-interference capacity despite power quality disturbances.
Publisher
Frontiers Media SA
Subject
Economics and Econometrics,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment
Reference32 articles.
1. Status and Challenges of Residential and Industrial Non-intrusive Load Monitoring;Adabi,2015
2. BLUED: A Fully Labeled Public Dataset for Event-Based Non-intrusive Load Monitoring Research;Anderson,2012
3. A New Measurement Method for Power Signatures of Non-intrusive Demand Monitoring and Load Identification;Chang;IEEE Trans. Industry Appl.,2011
4. Load Identification in Neural Networks for a Non-intrusive Monitoring of Industrial Electrical Loads;Chang,2007
5. Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring;Chen;IEEE Trans. Power Syst.,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献