A new paradigm for grid planning

Enhance your decision basis for grid planning ‒ with smart meter data

Distributed energy resources (DERs) like PV systems and EV charging stations are being connected to distribution grids at an increasing speed. Grid operators need utmost transparency of their impact on grid reliability and efficiency. Load data from smart meter measurements can bring additional insights and significantly enhance the decision basis for grid development and operations.

Building up DER hosting capacity will lead to a grid evolution

The massive introduction of DERs and change in consumption patterns will fundamentally change the power flow for distribution grids. Due to siloed systems and data, insights into actual load behavior on the low-voltage level is often very limited as they require high efforts for manual intervention and data manipulation. In consequence, traditional grid planning simulations are commonly based on aggregated standard load profiles. But in an increasingly dynamic environment, static load assumptions are no longer sufficient.
Benefit

Increasing system complexity calls for more precision and speed in grid planning

We expect multi-million Euros in CAPEX savings per year from more accurate planning. 
Middle Eastern utility
Solution

From static to time-series based grid simulation

PSS®SINCAL and EnergyIP® are two powerful software tools which can be combined to increase transparency of DER impact on distribution grids. By taking time-series smart meter data and automatically integrating it into model and time-series based grid simulation and planning, the quality and speed of grid analyses can be substantially enhanced. Near real-time data is continuously made accessible for a wide range of analyses which can be performed efficiently and any time required.
Use Case

Analyze and reduce technical losses

Integrating meter data management with grid planning and simulation software will bring added value for a variety of tasks which help you secure the energy transition. Find out how it can help to reduce technical losses, and get a glimpse into further use cases.

Pin down DER impact on technical losses 

Changing production and consumption patterns can heavily influence technical losses. In a dynamic system you need to understand how these change over time ‒ throughout the day, but also as a result of extreme weather, seasons, or social events. Insights into real load behavior, such as from smart meter data, allows you to identify causes of technical losses and define suitable measures, like asset replacements, operational strategies, or demand side programs, to sustainably reduce them.

The EnergyIP Mosaic® user interface offers an aggregated visualization of the results of the technical losses calculation performed in PSS®SINCAL. The results table provides an instant overview of the energy efficiency of the grid. You can choose to display results by date, total input energy, total loss, and efficiency.  This information can be provided to regulators and used as a benchmark to compare against other networks. The monetary value and equivalent emissions relates the losses back as real-world impacts.

To understand when and where losses are occurring in the network, the Results Overview dashboard in EnergyIP® allows to drill down into individual network elements, such as transformers. The items can be filtered by the maximum-to-average loss ratio allowing you to identify the worst performing elements in your network and provides insight into trends by time-of-day and over a full year. Having identified the network elements producing high losses, mitigation measures can be proposed and evaluated. In the PSS®SINCAL network model, critical elements are highlighted for further investigation by the grid planner.

Assuming that the critical element producing high losses is a transformer, the analysis is repeated in PSS®SINCAL using a more efficient transformer with higher capacity. The results can then be compared against the historic data to evaluate the impact of the transformer replacement. The return on invest (ROI) can easily be calculated based on the reduced loss of energy – not only at the specific transformer, but for the medium-voltage level in general. 

Unlock many more use cases with smart interoperability between meter data management & grid planning and simulation software

  • Take strategic investment decisions based on load insights
  • Simulate operations strategies
  • Identify heavily loaded equipment as weak spots and derive a possible mitigation scenario
  • Validate grid models against measurements
  • Detect anomaly root causes through analysis
  • Give immediate feedback on eCar charging station requests
  • Give immediate feedback on DER connection requests
Summit Session

Grid planning with smart meter data as a pre-requisite to integrate DERs

Increasing shares of DERs and EV charging infrastructures can significantly affect grid efficiency. But when and where do the losses occur? Smart meters provide insights on actual consumption and generation patterns. Watch the recording of the Grid Software Summit session on Grid Planning with Smart Meter Data to find out how grid analysts and planners can use this information to analyze and reduce technical losses using EnergyIP® MDM and PSS®SINCAL.

Contact

Ready to bring your grid planning to the next level?

Insights into the real status of your grid will enable you to take well-informed, timely decisions to drive the evolution of your grid. We are happy to start discussions with you on how you can leverage smart meter data in grid planning and answer your questions regarding implementation.

It's time to refine grid planning

Get in touch