“…Additionally, several distributed database management systems will be studied to decide which one(s) to use for answering specific questions of the DSO researcher. In the DREAM project, an IT architecture [27] has been designed to operate distribution grids in a heterarchic manner, i.e. the coordination strategy of grid segments can be adapted dependent on operation modes.…”
Distribution system operators will gather an increasing amount of electricity data from the lower level of the grid to be able to cope with several challenges, such as an increase of distributed, heterogeneous energy production, local storage, and electric vehicles. Most DSOs are not yet prepared for collecting, storing and processing these large amounts of data. This paper introduces a method for designing, validating and implementing such a system. The most important aspect of this method is the fact that the domain expert is able to validate the constructed conceptual model, before it is used to create a working system. This validation step adds to the quality of the model, and therefore to the resulting system. We have applied our method to a use case where a DSO researcher wants to answer questions such as "Can we recognize which appliances are present in households?" and "How can we cluster similar households?".
“…Additionally, several distributed database management systems will be studied to decide which one(s) to use for answering specific questions of the DSO researcher. In the DREAM project, an IT architecture [27] has been designed to operate distribution grids in a heterarchic manner, i.e. the coordination strategy of grid segments can be adapted dependent on operation modes.…”
Distribution system operators will gather an increasing amount of electricity data from the lower level of the grid to be able to cope with several challenges, such as an increase of distributed, heterogeneous energy production, local storage, and electric vehicles. Most DSOs are not yet prepared for collecting, storing and processing these large amounts of data. This paper introduces a method for designing, validating and implementing such a system. The most important aspect of this method is the fact that the domain expert is able to validate the constructed conceptual model, before it is used to create a working system. This validation step adds to the quality of the model, and therefore to the resulting system. We have applied our method to a use case where a DSO researcher wants to answer questions such as "Can we recognize which appliances are present in households?" and "How can we cluster similar households?".
“…To support this integration, efforts have been made towards real-time market models for renewables operation [2], and energy storage for grid balancing (e.g. [3]), as well as different methods for management and control of distributed resources, e.g., the heterarchical approach [4]. Renewable energy sources enable flexible markets and demand-response, which require active consumer and prosumer participation in the energy management process.…”
Abstract-Changes in electricity markets, driven by the increased use of renewable energy resources and the active participation of consumers in managing their energy usage, creates a demand for new smart grid technologies and services. In this paper, we describe an architecture that has been developed within the EU-funded Nobel Grid project, integrating novel smart grid solutions and services to enable energy flexibility markets, with enhanced demand-response schemes and active prosumer participation. The architecture was developed using the Smart Grid Architecture Model (SGAM) Framework from CEN-CENELEC-ETSI. In this way, the business context and use cases have been modelled, along with the necessary components, communication protocols and data models that are necessary to realise the Nobel Grid project's ambitious goals of a more open energy market.
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