Non-Intrusive Load Identification Methods Based on LI-Norm and Hidden Markov Chain Model
| Autor: | Zhang Zhihao, Huang Qi, Li Jian, Qu Hedi, Zhang Zhenyuan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Harmonic analysis
Total harmonic distortion Computer science Hidden markov chain model Electrical equipment Nonintrusive load monitoring Norm (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Hidden Markov model Algorithm Edge detection |
| Zdroj: | 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC). |
| DOI: | 10.1109/imcec.2018.8469417 |
| Popis: | This paper presents a non-intrusive load identification method to improve accuracy and efficiency of nonintrusive load monitoring by using Ll norm and the hidden Markov chain model. Steady-state harmonic current and steady-state power as characteristic parameters used to establish characteristic database, then get the steady state segment through the edge detection. Ll norm is used to identify the basic type of equipments, then combined with the frequency phase angle of the electrical equipment and harmonic distortion rate, load comprehensive identified by hidden Markov chain model. Simulation and experimental results show that the proposed method have good identification accuracy and efficiency |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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