Abstract
Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.
Highlights
The integration of renewable energy generation into power grids has been looked upon as one of the most effective and efficient methodologies to reduce carbon emissions from energy demand increases
Advanced Metering Infrastructure (AMI) consists of smart meters, meter data management system, communication infrastructure etc. and can provide useful information based on the data acquired from smart meters to realize numerous intelligent controls and services for smart grids
This paper proposed an effective Communication Performance Index (CPI) to assess on a daily basis and supervise the communication performance of each smart meter after the AMI has been implemented
Summary
The integration of renewable energy generation into power grids has been looked upon as one of the most effective and efficient methodologies to reduce carbon emissions from energy demand increases. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs), the core of data management in an AMI providing the technology to measure and collect energy usage data from smart meters to the meter data management system, is one of the most important issues for the successful deployment and operation of AMI. This paper proposed an effective Communication Performance Index (CPI) to assess on a daily basis and supervise the communication performance of each smart meter after the AMI has been implemented. Some useful communication quality measurements that can be acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI.
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