2022
DOI: 10.1109/tii.2021.3095101
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High Reporting Rate Smart Metering Data for Enhanced Grid Monitoring and Services for Energy Communities

Abstract: Capturing the dynamic behavior of the power distribution grids, especially under high penetration of renewables, is of high interest for grid operators. The distribution power grids are not fully observable due to lack of sufficient metering infrastructure, especially downstream of medium voltage substations. Therefore, fusion of data recorded at significantly different reporting rates was proposed to increase the situational awareness of the system with non-negligible effect on the accuracy of the monitoring … Show more

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Cited by 23 publications
(5 citation statements)
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References 24 publications
(42 reference statements)
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“…Grève et al [42] proposed data analytics modules to assist community members in optimizing their resource usage (generation and consumption) to reduce their electricity costs. M. Sănduleac et al [176] recommend the integration of data collected at significantly varying reporting frequencies to enhance the system's situational awareness and improve the monitoring accuracy because distribution power grids face partial observability issues, primarily stemming from inadequate metering infrastructure, particularly in areas downstream from medium-voltage substations. S.M.…”
Section: Data Monitoring and Analyticsmentioning
confidence: 99%
“…Grève et al [42] proposed data analytics modules to assist community members in optimizing their resource usage (generation and consumption) to reduce their electricity costs. M. Sănduleac et al [176] recommend the integration of data collected at significantly varying reporting frequencies to enhance the system's situational awareness and improve the monitoring accuracy because distribution power grids face partial observability issues, primarily stemming from inadequate metering infrastructure, particularly in areas downstream from medium-voltage substations. S.M.…”
Section: Data Monitoring and Analyticsmentioning
confidence: 99%
“…Additionally, they provide a day-ahead wind power forecasting algorithm that makes use of state-of-the-art machine learning methods. M. Sănduleac et al [173] urge the integration of information gathered at wildly different reporting intervals. Because the distribution power grids experience partial observability problems, mostly due to poor metering infrastructure, especially in areas downstream from medium-voltage substations, it is necessary to increase system situational awareness and monitoring accuracy.…”
Section: Data Monitoring and Analyticsmentioning
confidence: 99%
“…In [20], the role of SMs in monitoring the network and providing services for energy communities is analyzed, highlighting how time resolution is a parameter that must be taken necessarily into consideration according to the services and the purpose of such technologies.…”
Section: Smart Meter Description and Peculiaritiesmentioning
confidence: 99%