Sustainability through smart grid analytics

Cleantech company dLab provides a platform with several capabilities including increased grid resilience, condition-based maintenance and improved power quality monitoring. Using real-time analysis of grid disturbances, dLab clients have the possibility to significantly reduce the number of outages. That in turn leads to improved energy access and minimized use of  BUGS (back-up generators). The platform can highlight energy usage as well as reactive power, one contributor to energy losses in the grid. By carefully monitoring the power flows, dLab facilitates an efficient integration of more sustainable energy sources, such as wind power. It also enables companies to leverage on such energy assets more efficiently.   

Furthermore, the system from dLab stores all historical data for post-processing. This permits grid companies to identify potential weaknesses in the grid, requiring investments. A modern graphical user interface shows a complete grid overview featuring the ability to quickly zoom in to specific stations, and further to specific feeders.

All-in-all, the platform provides improved insights into the grid status as well as  information required to optimize the way of working. The platform assists grid companies in pushing forward in their digitalisation journey.

dLab has been on the market for more than 10 years, providing significant and tangible value to Distribution System Operators (DSOs) in their ongoing work for grid resilience, network efficiency, optimized maintenance and investments, and a more proactive way-of-working.

Sustainability aspect

An independent 3rd party company has assessed the direct sustainability benefits by dLab’s solution resulting in the following statement: “In addition to the potential for avoided emissions, it is worth mentioning that dLab’s solution has a larger potential for positive impacts in terms of sustainability. Some of them are listed below, in a nutshell, and related to corresponding Sustainable Development Goals (SDGs).

Individual BUGS often have higher levels of PM 10 and PM 2.5 emissions, as well as other toxic gases. Such emissions and gases affect health of people in a local level. Eliminated/reduced use of BUGS  improves health of citizens nearby generator location.

Main aim to improve reliability of the network, helping social development of general citizen. Increase in efficiency and the facilitation of the deployment of renewables supports SDG7.

Improvement of electricity network strengthen national economy providing better grounds for economic development.

Improvement of the network strengthen the system and the national infrastructures.

The solution in short

The dLab solution is empowered by a small, tailored hardware configuration based on standard industrial automation hardware, installed in the primary substations in the distribution grid (where transformation of voltage levels to approximately ~10-40kV occurs, local variations exist). The installation is air gapped from the rest of the substation.

dLab has developed a package of different applications utilizing this hardware configuration, all part of the dInsight Analytics Platform.

The solution from dLab is truly scalable both from a licensing perspective and a technical perspective. It is independent of age or make of the substations, i.e. it will provide a unified view of the complete grid.


Identifies normal operating condition of a specific substation, samples currents and voltages in high resolution and automatically analyses even the smallest deviation. The analysis is further categorized by the system and reported if deemed necessary. Acting as an early warning system, DSO will be able to pre-empt outages or significantly reduce outage times since the platform instantly produces automatic analysis reports in plain languages with key values.


All data, real-time as well as data analysed from a historical perspective, are visualized in a modern graphical user interface allowing for the DSO to identify weak points in the grid and understand the health of the total grid, as well as the possibility to easily zoom down to specific stations and even specific feeders. Providing information facilitating a more proactive way-of-working.


Monitoring the power quality according to IEC 61000-4-30 Class S, including reactive power.


Newly added solution for condition-based maintenance facilitating for a predictive maintenance capability. Monitoring and analysing data from e.g. breakers, load tap changer and auxiliary power ​supply system.Monitoring the power quality according to IEC 61000-4-30 Class S, including reactive power.

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