The energy transition is fundamentally changing the structure of power grids. With the expansion of renewable generation, the ramp-up of electromobility, and the electrification of industrial processes, the number of flexible, yet also volatile, power flows in the grid is increasing. Local overloads or unused capacities are occurring more and more frequently—depending on the time of day and feeding situation. Therefore, flexibility (e.g., load shifting, load reduction during critical times) to relieve the grids is now the new gold standard for keeping the costs of necessary grid operation and expansion as low as possible. This is urgently needed, as today one-third of the total electricity price already consists of grid charges.
To better control fluctuations, dynamic grid fees increasingly coming into the focus of regulation. Because until now, consumers paid a largely fixed fee per kilowatt-hour, regardless of the actual grid situation. This meant there was no economic incentive to shift loads to times that would relieve the grid.
As of 2025: Only “time-variable grid fees”
Since April 1, 2025 Is there a legal obligation in effect for all distribution system operators (DSOs) to offer time-variable network charges? The basis for this is the reform of Section 14a of the Energy Industry Act (Energy Industry Act), which was amended as part of the energy transition to better integrate controllable loads.
Around the same time, the Federal Network Agency launched the Working Party on Network Tariff Systematics (AgNeS), which is to develop a completely new framework for the grid access charge system for Germany by the end of 2028 at the latest. The new StromNEV (Electricity Grid Charges Ordinance) will in the future specifically steer the behavior of consumers and operators of controllable systems towards grid stability. Price signals oriented towards the current or forecast utilization of the grid are planned.
For industrial and commercial enterprises, this opens up a new control instrument: those who can shift loads flexibly benefit from reduced grid charges and at the same time contribute to relieving the infrastructure.
What are dynamic grid fees?
Dynamic grid fees are a tool to better align the use of electricity grids with the actual load. Unlike traditional grid fees, which are calculated independently of location and time, dynamic fees change constantly and in real-time, depending on the Network situation – so, how heavily a network section is currently loaded or is expected to be loaded.
The goal is to, Pricing signals for grid-friendly behavior to create. During times of high network load, fees increase, and during times of low load, they decrease. This is intended to motivate consumers, businesses, and controllable systems such as heat pumps, storage units, or charging infrastructure to flexibly shift their electricity consumption.
Differentiation from previous models
Starting in April 2025, many of the approximately 800-850 German distribution system operators will offer so-called Time-variable grid charges – usually in the form of a three-stage model. These time windows are defined in advance, are structured according to times of day or quarters, and typically divide the rates into Low-load (NT), Standard- (ST) and Peak hours Dynamic grid fees, however, go a step further:
- You can hourly or even vary quarterly, depending on the actual network load.
- You are based on Real-time data or network load forecasts.
- They allow a regional differentiation, for example at the level of individual network areas.
This creates a system that is similar to dynamic electricity tariffs works – but on the Network fee component the electricity bill.
Benefits & Objectives
This differentiated pricing is intended to encourage consumer behavior to align more closely with grid stability. If many participants react to price signals, peak loads can be smoothed out and investments in grid expansion can be reduced. For companies with controllable processes, this offers the opportunity to, To specifically optimize network fees – for example, through the use of Energy management systems or Large battery storage systems.
Current & Future Legal Frameworks
So far, energy-intensive companies have been able to reduced grid fees received if their load behavior contributed to grid stability or was consistently uniform. The two most important controls were the Load control and the Atypical grid usage according to § 19 Electricity Network Fee Ordinance. In brief:
- Belt load (§ 19 para. 2 sentence 1 StromNEV): Companies with a constant power consumption throughout the year—meaning a nearly uniform base load—could apply for an individual grid fee. This regulation rewarded uniform grid utilization without pronounced peaks.
- Atypical grid usage (§ 19 para. 2 sentence 2 StromNEV): Here, companies benefited from specifically shifting their load outside the peak load times of the regional grid operator. The peak load time windows were defined by the respective VNB and were usually in the early evening hours or during winter peak loads. By shifting consumption to times that relieved the grid, companies were able to achieve sometimes considerable fee reductions.
These two instruments have long been central components of the transmission pricing framework in the industrial sector, enabling transmission charges to be reduced by up to 90%. However, they rely on static time windows and annual assessments, not on short-term network signals. With the planned reform of the grid fee system – particularly the phasing out of the § 19 special regulations and the introduction of dynamic grid fees – this mechanism step-by-step through a flexible, data-driven system replaced. In the future, price signals should in real time or by the hour react to network bottlenecks instead of to generically defined load windows.
New Framework Methodology for Dynamic Grid Fees through AgNeS
The first step towards dynamic grid fees is the now reformed Section 14a of the Energy Industry Act (EnWG), which has been in effect since April 2025. In the second step, the Federal Network Agency (BNetzA) is developing a Reform of electricity grid charges, to clarify complex methodological and regulatory issues. It develops recommendations on how a future, nationwide comparable system of dynamic grid fees can be designed. AgNeS develops Basic principles and Rating mechanisms, for example:
- which database (e.g., grid load forecasts) may be used,
- how load shifts are to be evaluated,
- and how regional differences can be depicted.
However, Agnes No specific timeframes or rates festival. They will continue to be in the Responsibilities of individual distribution system operators, who are allowed to adapt their models to local network conditions.
More on the status of grid tariff reform in our article AgNes-Interim Report 2026.
Current Situation: Transition Phase for Introducing Dynamic Grid Fees
Consequently, the system for dynamic grid tariffs is currently in a transitional phase. While Section 14a of the German Energy Industry Act (EnWG) already mandates the introduction of time-variable tariffs, many grid operators are experimenting with different models, ranging from fixed peak load times to initial dynamic approaches. Only from 2026/2027 onwards is a nationwide harmonized yet regionally adaptable system planned to be introduced based on the AgNeS recommendations. This aims to create a balance between a uniform structure (transparency, comparability) and local flexibility (grid reality, load profiles).
How do DNOs design their network tariffs today?
In addition to fixed grid charges per kWh, § 14a EnWG obliges grid operators for the first time to offer at least one time-variable grid charge model. Many DNOs have opted for a 3-stage model and now offer NS, OP, and SP time windows. However, the specific design is left to them. Here's an overview of the current status:
| Design freedom | Each network operator can determine for itself: – When peak/off-peak times apply (e.g., daily or quarterly) – How large the price differences are (within legal limits) – How large the time window is for each tier. |
| Time slot examples | Many grid operators choose nighttime (0-5 AM) or PV surplus times (e.g., midday) as low-tariff periods. High-tariff periods are usually charged in the evening hours (5-9 PM) or during network peaks. Some apply low/high tariffs only in Q1 and Question 4 some, others year-round. |
| Objective of the model | Testing how flexible loads affect grid stability. Uniform, nationwide time windows would be counterproductive, as grid load varies regionally. |
| Database | Some grid operators already link time slots to forecasts or real-time grid loads, while others define them statically in advance (e.g., fixed times). |
| Industry/Commerce | For RLM customers (with performance metering), the systems have so far Not yet widespread available or implemented. Individual inquiries to the DNO are necessary. |
Opportunities for Industry & Commerce: From Cost Factor to Control Element
The introduction of dynamic grid fees represents not only a regulatory change for companies but, above all, opens up significant economic and strategic potentials. In particular, companies with controllable loads (e.g., industrial production facilities, refrigeration systems, storage solutions, e-fleets) can benefit from the new system by actively managing their electricity procurement costs.
Targeted cost optimization through load shifting
The most obvious opportunity lies in the direct Reduction of grid fees. By shifting electricity consumption from peak load times (HT) to off-peak load times (NT), companies can minimize their grid usage fees. Load shifting The difference between NT and HT tariffs leads to immediate saving potential.
Synergies with Energy Management Systems (EMS) and Storage
Dynamic grid fees enhance the benefits of already installed or planned Energy Management Systems (EMS). An intelligent EMS not only reduces direct electricity costs (through dynamic electricity tariffs), but also allows network charges to be automatically integrated into process control. The EMS becomes the central control hub for grid-friendly load shifting. Additionally, the economic efficiency of battery storage increases. They can be charged during off-peak hours or when network utilization is low, and discharged for self-consumption during peak hours or when local overload occurs. This not only optimizes electricity procurement but also network usage costs.
Preparing for future energy markets
Adapting to dynamic grid fees is an important step towards Digitalization and Flexibilization of companies' energy infrastructure. It creates the foundation for future participation in further flexibility markets (e.g. Control energy-markets) and networking as an active part of the energy system (keyword: sector coupling and virtual power plants). This transforms companies from passive electricity consumers into active participants in grid operations.
Challenges & Open Questions
Despite the clear advantages and regulatory necessity, the introduction and success of dynamic grid fees are still associated with some significant challenges and open questions that must be addressed by legislators, the BNetzA, DSOs, and companies alike.
Regulatory and technical complexity
The transition to a new system involves both regulatory and technical hurdles:
- Harmonization and comparability: Although the AgNeS is intended to create a nationwide framework, the final design remains with the over 800 distribution system operators. For companies operating nationwide or large industrial customers, this can mean a patchwork of different remuneration models, making central control and prognoses difficult.
- Data Infrastructure and Availability: Truly dynamic grid tariffs require reliable, short-term provision of grid load data or real-time forecasts (quarter-hourly or hourly). The widespread rollout of smart metering systems and the creation of the necessary data platforms are the fundamental technical prerequisites, which are not yet in place everywhere.
- Transition for RLM Customers (Industrial): For customers with registered performance metering (RLM) – which includes most industrial and large commercial customers – the final methodology for dynamic grid fees is still under development (BNetzA plans from 2026/2027). The temporal overlap with the planned expiration of the § 19 StromNEV regulations is causing uncertainty.
Integration into business processes
In many companies, the required flexibility conflicts with established production and business models. Not all industrial and commercial processes can be easily shifted to off-peak times. Especially in the case of just-in-time production or continuously necessary operational processes, companies must weigh the extent to which savings on grid fees outweigh the potential costs of process interruptions or delays. In addition, the use of dynamic rates often requires investments in more modern equipment, storage, charging infrastructure, or the retrofitting of EMS systems. The economic viability of these investments must be critically examined on a case-by-case basis, provided that no Contracting models are available.
Acceptance & Communication
For end customers, small businesses, or SMEs, the new system is significantly more complex than the previous flat fee. Transparency and clear communication of the new tariffs by the DNOs are crucial to achieve broad acceptance and thus the necessary steering effect.
Outlook: Dynamic grid fees as a central building block of the energy system
Dynamic network charges are not just a new billing instrument, but a central building block for Germany's future, flexible energy system. The regulatory framework will be clearly defined by 2029 at the latest.
From Static Time Windows to Real-Time Control
The current transition phase, with its mostly 3-stage, predefined time windows (NT, ST, HT), is expected to be only an intermediate step. The recommendations of AgNeS and the later StromNEV reform will move the system towards a true, data-driven dynamics link. This means that price signals will become increasingly short-term and should react to actual or forecast grid load on an hourly or quarter-hourly basis. Furthermore, grid fees will increasingly reflect the local grid situation in the future. A company in a conurbation with high grid load will receive different signals than a business in a rural, surplus-rich renewable energy area.
Artificial Intelligence as an Accelerator
The complexity of real-time pricing signals from grid load and market electricity prices, as well as the necessity of aligning production plans accordingly, is without Artificial Intelligence and Advanced Analytics may be difficult to manage. AI-based EMS systems will become indispensable for optimizing the prediction of load shifting, taking into account electricity prices, grid fees, and production requirements. This involves the automatic shifting of controllable loads without manual intervention or compromising operational safety.
Integration into the overall system
In the long term, dynamic grid fees, together with dynamic electricity tariffs (energy price) and the evolving flexibility markets, will lead to a Holistic economic framework merge. The goal is an energy system in which every player – from the heat pump in the household to the industrial plant – contributes to stabilizing the grid through financial incentives, and the costs for grid expansion are minimized.
For companies, this means: Those who now equip themselves with the necessary data infrastructure, suitable energy management systems, and flexible processes will not only benefit from current savings but will also be optimally positioned for tomorrow's energy system.