Grid load
Load forecasts for distribution and transmission networks, from the local network to the transfer point to the upstream network.
Forecasts for network operators
Load and feed-in forecasts down to individual network nodes, automated and integrated directly into your control and planning systems. This enables you to identify bottlenecks at an early stage and plan redispatch on a reliable basis.
The challenge
Why grid forecasts are becoming increasingly important
In the past, electricity flowed in one direction: from the power station to the consumer. Today, thousands of decentralised installations feed into the grid, and new consumers are changing load profiles. It is becoming more difficult for grid operators to reliably assess grid utilisation and bottlenecks.
- Volatile feed-in from wind and solar power
- Growing loads due to electric vehicles and heat pumps
- Power being fed back from lower to higher grid levels
- Increasing demands due to Redispatch 2.0
What we forecast
An overview of grid load, feed-in and grid levels
Grid forecasts are made up of many individual forecasts. mP Xnergy calculates them using a bottom-up approach and aggregates them for each level you wish to examine.
Feed-in
Forecasts for wind, solar power and other decentralised generators in your network area, based on current weather data.
Network levels
Forecasts for individual network nodes, substations and network levels. Can be freely aggregated by region or voltage level.
Here’s how it works
From measurement to the control centre, with no manual intervention required
Connect data
Measurement data, asset master data and weather forecasts are automatically incorporated.
Assign models
mP Profiler creates the appropriate model for each network node and each plant.
Calculate a forecast
Updated on an ongoing basis, either according to a schedule or as soon as new data becomes available.
Submit result
Via an interface to the network control system, redispatch systems and planning systems.