Open AccessSmart meter deployment optimisation and its analysis for appliance load monitoring
Author(s) -
Khwaja Ahmed Shaharyar,
Naeem Muhammad,
Anpalagan Alagan,
Venetsanopoulos Tas A.,
Venkatesh Bala
Publication year - 2015
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2014.0345
Subject(s) - software deployment , computer science , smart meter , real time computing , reliability (semiconductor) , ambiguity , dependency (uml) , metre , distributed computing , embedded system , smart grid , reliability engineering , engineering , electrical engineering , artificial intelligence , physics , astronomy , operating system , power (physics) , quantum mechanics , programming language
In this study, the authors study the problem of smart meter deployment optimisation for appliance load monitoring, that is, to monitor a number of devices without any ambiguity using the minimum number of low‐cost smart meters. The importance of this problem is due to the fact that the number of meters should be reduced to decrease the deployment cost, improve reliability and decrease congestion. In this way, in future, smart meters can provide additional information about the type and number of distinct devices connected, besides their normal functionalities concerned with providing overall energy measurements and their communication. The authors present two exact smart meter deployment optimisation algorithms, one based on exhaustive search and the other based on efficient implementation of the exhaustive search. They formulate the problem mathematically and present computational complexity analysis of their algorithms. Simulation scenarios show that for a typical number of home appliances, the efficient search method is significantly faster compared to the exhaustive search and can provide the same optimal solution. The authors also show the dependency of their method on the distribution of the load pattern that can potentially be in a typical household.