Smart meter deployment optimisation and its analysis for appliance load monitoring

The Journal of Engineering

Tas A. Venetsanopoulos¹  Alagan Anpalagan¹  Ahmed Shaharyar Khwaja¹  Muhammad Naeem¹  Bala Venkatesh¹ 

[1] Department of ELCE, Ryerson University, Toronto, Canada, ON M5B 2K3

关键词: home appliances;    appliance load monitoring;    computational complexity analysis;    energy measurements;    exhaustive search;    load pattern distribution;    smart meter deployment optimisation algorithms;   

DOI  :  10.1049/joe.2014.0345

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

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.

【 授权许可】

CC BY