GIS4SmartGrid 2020 Blog

GIS4SmartGrid 2020 Blog

Keep up to date with the latest developments for the GIS4SmartGrid 2020 virtual conference run by Smart Grid Forums.

Case Study: Elektro Maribor

Next-Generation geographic information systems are providing utilities with the opportunity to divulge even more information from the grid than ever before. But, alongside every other information system within the utility, it has evolved and developed as an individual entity. This has led to a multitude of issues when finally connecting these systems together to enable data exchange and to fully harness their potential to deliver the means for advanced, data-driven analytics.   

For utilities to make the most of the abilities of these state-of-the-art systems, GIS departments must first eradicate an engrained culture of siloed data, legacy software, and out-of-date data stewardship techniques. Once this has been achieved and there is an organisational shift in mindset towards data management, they will unlock the full potential of next-generation GIS. 

This week, we caught up with Denis Duh, Deputy Head of Development and Planning at Elektro Maribor to discuss his upcoming presentation at the 3rd annual GIS4SmartGrid 2020  virtual conference, on how they are tackling the issues behind maintaining a high-quality geospatial database.

Denis explained: “In the last 20 years, electricity distribution companies have faced massive digital transformation. The varying technologies and methodologies deployed in data collection during this process, although producing a wealth of new data providing endless possibilities for the future of the industry, have over the years had many shortcomings that lead to developing errors, negatively affecting data quality.

The real challenge we find ourselves facing at Elektro Maribor is connecting information systems which grew independently from one another. As a result, we have started building a CIM model based on IEC 61970 and IEC 61968, which will serve as our main technical data source. To achieve sufficient data quality from our CIM network model, we have to have exceptionally good data within all our connected information systems. 

Through our own experiences, we have developed new methods for acquiring data with minimum possible error, while also utilising software-assisted procedures and periodical data analyses in finding and fixing inconsistent data acquired in the past. This is assuring us the standard of data quality required to carry out the advanced data analytics that next-gen GIS enables.”

At GIS4SmartGrid 2020, Denis’ presentation will be one of 14 utility case studies showcasing GIS integration insights across the smart utility organisation, and embedding next-generation GIS at the centre of data management strategies. Take advantage of this utility-heavy speaker line-up alongside a solution zone, roundtable discussions, and a technology innovation panel where you will have the opportunity to hear the product development plans of leading vendors, and influence the direction of their activities in favour of end-user requirements.