The digitization of the Energy Transition is equally driven by legal requirements and new technologies. PSI supports customers in achieving the greatest possible optimization by using analysis and AI methods. For example, our current products already include special functions for optimized infeed of renewable energy and for the integration of charging stations. New business models can also be developed on this basis, such as control of energy purchases of large consumers.
Network loads and infeeds of renewable energy are forecast with machine learning and neural networks. These are used as important input data for look-ahead network calculations. This allows mastering the future network management requirements efficiently and securely, already today.
The management of ultra-high and high voltage networks is becoming increasingly complex. In particular volatile infeeds, the reduction of large power plant capacity, and the primarily market-driven electricity transmission pose major demands on control center staff and the utilized tools. With the Security Assessment and System Optimization (SASO) system, PSI now provides a tool to network operators which allows simple and concentrated assessment of the network state while issuing a proposal for solving the detected findings.
Capacity calculation based on a standardized procedure for the electricity traded on the day-ahead and intra-day markets requires data exchange across networks. From today's point of view, a transparent Europe-wide overview is vital.The "Generation and Load Data Provision Methodology" (GLDPM) defines the general conditions for this purpose.
For the realization of the requirements associated with the Generation and Load Data Provi-sion Methodology (GLDPM), it is necessary to expand existing control systems and to add new components. For this purpose, PSI has developed PSI SASO DSO 2.0 which provides you with a modular, expandable, and therefore future-proof solution.
The Energy Transition is strongly based on the massive use of ICT and cannot be realized without it. The resulting increased dependency on their availability is reason enough to ap-propriately secure the control and telecommunication systems which are required to operate the energy supply networks.
The system elements (assets) in energy distribution networks such as transformers, switch-gear, and transmission powerlines require significant capital expenses. Extending the operation by months or even years is a major tool to save cost. Industry 4.0 will provide major benefits for exactly this aspect.
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