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Objective 2: Adaptation of the existing monitoring systems for the fine-granulated energy hybrid network control operations

What is necessary to monitor and analyse in the energy grid? How should monitoring systems be adapted for smart hybrid energy networks nowadays?

The tasks within Objective 2 focus on the monitoring and analysing of energy hybrid network considering the following aspects for each demonstration site:

  • Meteorological characteristics.
  • Use of ICT/M2M infrastructures for monitoring, managing, and filtering data related to energy flows.
  • Substations usage and the network coupling points.

The state-of-the-art Machine to Machine (M2M) architectures: OrPHEuS M2M platform design to modern smart city equipment.

This report describes a reference M2M platform design, identifies and concretizes project-related challenges, and designs four platform extensions (self-configuration, consumer behaviour analysis, data filtering, and M2M cloud systems) for tackling the identified challenges, while it also examines further ICT tasks.

Finally, it discusses the (future) usage or evaluation of these extensions in conjunction with other WPs. Two of the most important M2M platform-related tasks of OrPHEuS are:

  1. Smart data filtering of OrPHEuS data (i.e., hybrid energy grid data)
  2. Examination of hybrid energy grid control systems as part of Smart City Operation Centers (and their integration into the latter)

The physical coupling points in hybrid energy grids.

This report gives a short introduction to the different energy grids and an overview about available technologies which are necessary for hybridization between the different energy grids. In addition, the nominal and dynamic parameters for the technologies are explained.

Validation of Metrics for the Comprehension of real-life data with virtual information

This document describes how the metrics required to quantify the effect of environmental conditions (solar irradiance, ambient temperature) on energy systems can be estimated by remote sensing, meteorological forecasts or simulation models. Metrics estimated with these options, denoted as virtual measurements, are validated against in-situ and ground-based measurements in Germany and Sweden. The impact of high shares of photovoltaic supply on the lifetime of local power transformers is also estimated for the demonstration site of Ulm (Germany).

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Last Update

Last Update:
General update: 27-11-2020 12:57