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Virtual power plant for the integration of renewable energy

Our Virtual Power Plant

for distributed energy sources

energy & meteo systems is a pioneer in the development of the Virtual Power Plant and is the world-wide leading provider today. With our technology, portfolios with a total capacity of several dozen gigawatts are controlled, monitored, and marketed.

Our Virtual Power Plant enables the flexible connection, coordination, and control of renewable and conventional production facilities, storage systems and consumers in a control centre. The real-time visualization of generating and consuming actions, the inclusion of power predictions and remote control are the basis for monitoring of the energy group and its efficient marketing to various markets (spot, intraday, balancing power market).

You use our power plant as a software-as-a-service solution and do not need your own infrastructure. energy & meteo systems configures the Virtual Power Plant according to your individual needs and ensures the connectivity of generating facilities, storage systems and consumers. Of course we also assume the hosting and 24/7 hour operations for you.

Learn in the interactive diagram how our Virtual Power Plant works:

enlarge diagram
Core features of our Virtual Power Plant
  • Bundling of decentralized power sources such as wind, solar or biomass and controllable loads into a high-performance portfolio
  • Representation of input data in real-time including the plausibility checks and corrections
  • Incorporation of power forecasts for wind and solar power
  • Optimized meta forecasts from several individual wind and solar power predictions
  • Provision of a web interface for the reporting of site outage (for example maintenance intervals) to take into account in the production schedules
  • Interface for various energy markets towards the direct portfolio marketing
  • Certified connection to EPEX Spot via API (M7, ComXerv)
  • User defined remote controllability of all installations and consumers
  • Software-as-a-service with 24/7 service
  • ISMS-Certification according to ISO/IEC 27001:2017

Operational purpose and business models

Leading energy providers, power traders and plant operators put their trust in our fully developed and reliable technology for their use case or business model in the decentralized energy system.

Possible areas of implementation

We train you comprehensively in the usage of the Virtual Power Plant as well as in the power forecasts for wind and solar energy. Here, we offer goal-oriented training seminars at our offices or directly at yours.

Would you like to learn more about the flexible field of applications of our Virtual Power Plant?

Please give us a call: Tel. +49 441 249 210 or

A good overview of how our virtual power plant works can be downloaded here:

Folder Virtual Power Plant

Use Cases

Wind farm in Germany provides ancillary services via virtual power plant

Statkraft has put its trust in our Virtual Power Plant for years in optimally direct marketing wind power from an economic standpoint.

Our Virtual Power Plant supports the French power producer CNR in the direct marketing of solar and wind power in the French electricity market

Our Virtual Power Plant for the French electricity provider CNR is especially adapted to the specific requirements of the French electricity market.


Control Center

The control and communication center is where all the information from the Virtual Power Plant comes together. Diagrams are displayed on screens which users can individually configure. This creates a summary of all relevant planning and market activities as well as of current generation and consumption. Boundary conditions such as maintenance intervals for turbines, futures contracts or price forecasts are imported via an interface or entered by hand, including prices for balancing power. Additionally, monitoring of loads and consumption is possible.


Operational planning integrates all turbine-specific conditions and prepares an optimized aggregated schedule for multiple trading platforms. This includes the spot, intraday or balancing energy market. Moreover, existing futures contracts can be taken into account. Even the energy consumption is factored in to the continuous online optimization. The scheduling process can take place automatically or be manually activated. Operational planning avoids unnecessary shut-off (or switch on) events and saves operational resources. For the scheduling of ancillary services a safety reserve can also be configured.

Central control and operational management

The central control provides the plants with individual schedules and guarantees the adherence to those schedules passed on to the markets. Based on trend calculations a continuous monitoring and rescheduling is possible. If balancing power is called for, it is provided by a pool of pre-qualified power stations. In so doing, signals by the transmission grid operator can be directly processed. If no balancing power is necessary, then the entire portfolio can be used to even out the balancing group.


Multiple trading platforms can be simultaneously operated by the Virtual Power Plant via trading connections. This includes OTC, spot, intraday and balancing energy markets. Market-bids can be directly configured. Short reaction times are given through the real-time availability of data. Schedules can also be passed on to a control system or exported to a file via this interface. If the portfolio has pre-qualified power generating facilities available to it, then the software can also be used in the balancing power market. Participating in the primary and secondary reserve market is then just as possible as the deployment of minute reserves.


Power predictions, load forecasts and load management

Information crucial to operational planning is made available via power and load predictions. In addition to data on the controllable power station, accurate forecasts of wind and solar power are important for power predictions. Therefore, our systems Previento and Suncast use forecasts by the most important weather providers. They utilize reference facilities and combine this information with specific data from the individual power generators, e.g. wind turbines. Previento and Suncast are important building blocks for reliable power predictions and turn wind and sun into reliable energy sources. The current energy consumption of the controllable consumer flows into the load prediction in the Virtual Power Plant, the latter being continuously adjusted via the always optimized load management.

Market data

The current day-ahead and intraday prices as well as the trading results gained on the different markets can be continuously and immediately transferred to the Virtual Power Plant. Moreover, futures contracts can be taken into account.

Availability messaging

Information on planned non-availability, e.g. turbine maintenance, can be passed on to the Virtual Power Plant both from the operator portal as well as, in some cases, directly from the turbine itself.


The intelligent networking of controllable consumers and loads, such as cooling or heat production facilities as well as storages with decentralized power generators is one of the core functions of the Virtual Power Plant. Schedule deviations, power plant failures or unforeseen overproduction can thus be mostly counteracted.


One central function of the Virtual Power Plant is the remote control and the intelligent coupling of energy plants, consumers and storages. Decentralized power generators include, for example, wind energy, photovoltaic systems, hydropower, biofuel facilities or heat controlled thermal power stations.


Decentralized control units

Every power generating facility can be controlled by its own unit – the steering box. This turns the individual schedules set by the central control into control commands. The Virtual Power Plant can operate all standard interfaces.

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