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Monitoring time‐varying residential load operation modes: an efficient signal disaggregation approach
Author(s) -
Zhu Li,
Zhou Changle,
Qu Zhaoyang,
Li Junhua
Publication year - 2019
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22767
Subject(s) - computer science , duration (music) , smart grid , grid , electrical load , signal (programming language) , power consumption , power (physics) , state (computer science) , real time computing , mathematical optimization , automotive engineering , voltage , engineering , algorithm , electrical engineering , mathematics , art , physics , geometry , literature , quantum mechanics , programming language
There is growing interest in measuring residential infrastructures for obtaining more descriptive information about their power consumption so that the consumption custom can be optimized and the cost reduced. This study aims to develop an efficient signal disaggregation method associated with features of load curves as a way of measuring nonintrusively residential load operation modes. The mathematical model is built based on an optimal fitting idea. We modify the shuffled frog leaping optimization algorithm (SFLA) with brain storming mechanism to solve the multi‐extremum problem. The results suggest that the proposed method is able to (i) identify the working modes of appliances including the onset time and operation duration for long‐term operation, (ii) detect the case within a few appliances of the same type, (iii) decompose the instantaneous open state of domestic appliances. Therefore, our method can not only overcome the traditional limitations of nonintrusive load monitoring but also be seamlessly applied to the current electric grid. Finally, we discuss potential application areas. The outcomes from this study would promote the progression of the smart grid. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.