Optimized Scheduling of Smart Meter Data Access for Real-time Voltage Quality Monitoring

被引：0

作者：

Kemal, Mohammed S. ^{[1
]}

Olsen, Rasmus L. ^{[1
]}

Schwefel, Hans-Peter ^{[2
,3
]}

机构：

[1] Aalborg Univ, Sect Wireless Commun, Dept Elect Syst, Aalborg, Denmark

[2] Aalborg Univ, Dept Elect Syst, Aalborg, Denmark

[3] GridDATA, Anger, Germany

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) | 2018年

关键词：

Smart Grid; Adaptive scheduling; AMI; QOS; Information quality monitoring; voltage quality monitoring;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Active low-voltage distribution grids that support high integration of distributed generation such as photovoltaics and wind turbines require real-time voltage monitoring. At the same time, countries in Europe such as Denmark have close to 100% rollout of smart metering infrastructure. The metering infrastructure has limitations to provide real-time measurements with small-time granularity. This paper presents an algorithm for optimized scheduling of smart meter data access to provide real-time voltage quality monitoring. The algorithm is analyzed using a real distribution grid in Denmark. Results show improved information quality for real-time monitoring in comparison to heuristically chosen scheduling mechanisms.

引用

页数：6

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