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.
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页数：6
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