Skip to content

SINTEF Blog Gå til forsiden

  • Energy
  • Ocean
  • Digital
  • Health
  • Industry
  • Climate and environment
  • Building
  • Society
  • EN
  • NO
Energy

Digitizing grid data for a future-proof SmartGrid

The future electricity distribution system will include new intelligent devices and flexible resources (such as solar and wind energy)

Parts of the grid data are still stored on paper (Photo: Shutterstock)
Authors
Tonje Skoglund Hermansen
Published: 1. Apr 2018 | Last edited: 14. Apr 2025
3 min. reading
Comments (1)

These will result in new load and generation patterns as well as massive amounts of operational data.

  • This blog is based on the work of FME CINELDI. Their 1stAnnual report is out now and can be found here

Many changes will be driven by the customers, and new uncertainties will emerge for the distribution system operators (DSOs), making planning of “future proof” distribution systems more challenging.

In CINELDI (Work Package 1: Smart Grid Development and Asset Management) we are developing methods, models and tools to support: cost-benefit optimised and risk based planning of the future active distribution system.

Current practice

The starting point for this work is to establish a description, both regarding today’s practice in the industry, and regarding what methodologies and tools that are available from previous research. This description is used as basis for identifying the needs and gaps, both in terms of what methodologies that need to be developed in CINELDI, and how the methodologies should be designed for the DSOs to implement them.

To get an overview of today’s practice in the DSOs regarding grid planning methodologies and tools, a questionnaire was sent to the DSO partners. The results show that different implementations in Excel, as well as Powel’s Netbas are the most common tools used for analyses for grid planning purposes.

Lacking good tools

The DSOs lack good tools to consider new aspects such as prosumers, end user flexibility, distributed storage and variable generation (solar, wind) in their planning.

Uncertainties are only to a limited extent accounted for.

Many of the DSOs indicate that the main reason why more analyses are not carried out as part of the grid planning process, is that they do not have sufficient high-quality input data. It was found that parts of the grid data are still stored on paper at 67% of the respondents (9 DSOs in total). They are in the process of digitizing these data.

Developing new models with partners

The results from the questionnaire were presented and discussed in a workshop on distribution system planning, held in June 2017, to ensure relevance for the industry.

Workshop on distribution system planning, June 2017.
Workshop on distribution system planning, June 2017.

Some of the DSO partners presented challenges and opportunities in distribution system planning. The workshop also included group work, where the partners were invited to give input to the WP1 work plan and focus areas, based on their experience.

Partner involvement is essential when developing models, methods and tools for the future distribution system planning. It’s essential both to ensure ownership in the methodology to be developed, and eventually to ease the implementation in the DSOs to support the transition to the future flexible and intelligent distribution grid.

Digitization of grid data in the DSOs: 33% of the DSOs that answered the questionnaire have all grid data digitized, while 67% of the DSOs still have some grid data stored on paper.
Digitization of grid data in the DSOs: 33% of the DSOs that answered the questionnaire have all grid data digitized, while 67% of the DSOs still have some grid data stored on paper.

 

Comments

No comments yet. Be the first to comment!

Leave a comment Cancel reply

Your email address will not be published. Required fields are marked *

More about Energy

Marie Bysveen's CCS trip around Europe

Why industrial carbon management is Europe’s next competitive edge

Marie Bysveen
Marie Bysveen
Chief Market Developer PhD
A dynamic power cable under waves, current and floater motions.

Game-changing time-domain prediction tool: From research to engineering

Author Image
Author Image
Author Image
Author Image
Author Image
Author Image
6 forfattere
SINTEF carbon capture test rig

How hydrogen can enhance CO₂ capture in natural gas power plants 

Author Image
Author Image
Author Image
3 forfattere

Technology for a better society

  • About this blog
  • How to write a science blog
  • Topics and collections
  • Sign up for our newsletter
  • News from NTNU and SINTEF
  • Facebook
Gå til SINTEF.no
SINTEF logo
© 2025 SINTEF Foundation
Privacy Editorial Press contacts Website by Headspin