Application of AMR/grid data
To improve asset management, planning, and grid operation, we test real-time and historical AMR and grid data technologies in real environments.
Automatic meter reading (AMR) will give the power grid companies far more insight in the state of the distribution grid.
Distribution Management Systems (DMS) are expected to play an important role in real time operation and decision support. DMS tools should be able to utilize and manage new data to increase control room and field personnel system situational awareness.
Risk-based distribution network planning
A risk-based approach to distribution network planning is desirable in the future. That implies making decisions to minimize or maintain the probability that the power demand will exceed the capacity, and to decide if the potential consequences are acceptable or not.
Predicting peak load in secondary substations
Secondary substations can get overloaded in peak load situations. This may lead to need for maintenance, reduced lifetime and outages.
Smart meters in the Smart Grid Lab
A lab environment for piloting is currently being established in the Smart Grid Laboratory, containing smart meters of Aidon.
Development area Molobyen
A zero-emission society cannot use an electricity distribution grid design for a high emission world. We must plan, build, and operate the grid in completely new ways.
Probabilistic planning methodology
Improved planning methodologies can increase security of supply and up-time for customers, and decreased cost for grid companies.