SMIGHT NeMS
Network management that does more than just monitor
The low-voltage grid is undergoing fundamental change. More controllable loads, more feed-in, more regulatory obligations. SMIGHT NeMS provides grid operators with the tools to actively manage their grid: based on real-time measurement data, compliant with regulations and ready for whatever the future may bring.
Greater flexibility within the network.
More responsibilities for operators.
More wallboxes, more solar panels, more controllable appliances. What was long operated as a passive distribution network is becoming an active system. The demands on network operators are increasing and the deadlines are approaching. At the same time, the signals do not come solely from the company’s own network. Medium- and high-voltage systems expect responses from the low-voltage system: How much control potential is available? When? To what extent?
Anyone who sets up the control chain now will be prepared for whatever lies ahead.
Load management
Wallboxes, heat pumps and battery storage systems must be controllable in the event of a grid congestion. SMIGHT NeMS automatically reduces power output in a non-discriminatory manner, entirely via the metering point operator, and in accordance with regulatory requirements.
Feed-in management
In summer, 70% of transformers feed power back into the medium-voltage grid at least once daily. PV systems can be automatically curtailed via the same control chain as the load management system. No separate system is required.
Controllability check
Every controllable installation must be proven controllable once a year – a requirement that grows fast as the number of installations grows. SMIGHT NeMS automates test planning, dispatch and audit-proof documentation, even for large-scale systems.
HV/MV Coordination
Control commands from the medium- and high-voltage systems are intended to be executed in the low-voltage system. SMIGHT NeMS receives and executes them in accordance with BSI standards and reports back which control potential is available.
From monitoring to active network management
SMIGHT NeMS
SMIGHT NeMS is the network management system for low-voltage networks. It identifies bottlenecks based on real-time measurement data, automatically triggers control commands and coordinates the low-voltage network with higher-level network tiers.
You can get started today: No network model, no major preliminary project. The platform grows in line with requirements.
- BSI-compliant control chain
- Ready for immediate use – even without a network model
- Based on real measurement data
- Scalable
The SMIGHT Approach: A scalable system – from transparency to a dynamic guidance system
Basis
Recording – Creating transparency online
SMIGHT measurement technology continuously records currents, voltages and load factors in local network substations and cable distribution boards. The measurement data provide a true picture of the current network situation, with precision down to the individual measurement point and without any model assumptions.
Understand
Understanding – turning data into knowledge
All measurement data is consolidated and processed in the SMIGHT IQ Cockpit. This provides network operators with a minute-by-minute overview of critical conditions, bottlenecks and available capacity across all substations and feeders.
Control
Control – turning observation into the ability to act
This transparency enables active intervention. Consumer appliances and feed-in sources can be controlled in a targeted manner because SMIGHT NeMS knows the actual state of the grid and does not rely on projections or worst-case assumptions.
Provide evidence
Documentation – audit-proof and traceable
All control actions are logged in an audit-proof manner. Each control command is stored along with the time, scope and affected assets, and is assigned to the relevant control event. Evidence for the upstream distribution system operator can be retrieved at any time.
Section 14a of the Energy Industry Act (EnWG), Section 9 of the Renewable Energy Sources Act (EEG) and Section 12 of the Energy Industry Act (EnWG) require comprehensive documentation. SMIGHT NeMS provides this automatically, without the need for manual intervention.
NeMS can do more than just control. It understands the grid.
The Adaptive Dynamic Twin combines measurement data, network topology, weather data and external sources to create a dynamic network model.
This fundamentally changes the quality of grid operation. Instead of reacting to forecasts, NeMS can act proactively. Constraints are identified up to 24 hours in advance. The low-voltage grid thus becomes an active partner to the higher-level grid tiers: it not only receives control commands, but also provides qualitative information on what control potential is available, when and to what extent.
Live network model
Measurement data, network topology, weather data and satellite images are continuously fed into the system, keeping the model up to date without the need for manual maintenance.
24-hour forecast
The system generates forecasts for load and feed-in profiles based on historical data and machine learning models. This also applies to feed-offs without metering. This means that network operators can see not only the current situation, but also what will happen tomorrow.
Qualitative feedback to MV/HV
Overlapping grid levels receive not only a confirmation of execution, but also qualitative information: how much control potential is available and when, based on actual measurement data rather than rated power.
Full feed-in management, including voltage analysis
The ADT identifies PV systems using satellite imagery, including those that have not been registered. Feed-in forecasts are generated based on weather and measurement data. This enables full feed-in management, including voltage analysis, which is not possible without a grid model.
Scalable controllability check
The ADT enables an intelligent, automated controllability check without the need for manual intervention. Test planning and collision avoidance with active control systems are carried out automatically, even for large-scale systems comprising thousands of units.
Actual-value control
Control commands are not calculated on the basis of the installed rated power, but on the basis of the power actually available at the time of control. This makes interventions more precise, proportionate and beneficial to the grid.
