Repository hosted by TU Delft Library

Home · Contact · About · Disclaimer ·

Applying innovative IT modelling methods to low-level grid information for DSO operations

Publication files not online:

Author: Veen, J.S. van der · Wijbenga, J.P. · Kamphuis, I.G.
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source:2015 IEEE Eindhoven PowerTech, PowerTech 2015
Identifier: 530888
doi: doi:10.1109/PTC.2015.7232304
ISBN: 9781479976935
Article number: 7232304
Keywords: Data Modelling · Data Storage · DSO · Electricity Data · Modelling · Power Grid · Storage · Data structures · Digital instruments · Electric power transmission networks · Energy storage · Models · Data storage · Distribution systems · DSO · Energy productions · Grid information · Large amounts of data · Modelling method · Power grids · Digital storage · ICT · SEM - Service Enabling & Management · TS - Technical Sciences


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?'. © 2015 IEEE.