Model-based optimal dispatch and control of power systems and industrial applications
Dr. RĂ¼diger Franke (ABB, Germany)
Power systems are phasing fundamental changes from few centralized large power stations to many small decentralized assets. The new assets include renewable power generation, combined heat and power generation, flexible loads, power storage and e-mobility. New high-voltage DC lines interconnect transmission grids and transport renewable power to the consumers. Future developments will lead to a deeper integration of multi-energy systems, exploiting power-to-x technologies.
This talk gives an overview about the application of Modelica to model-based optimal dispatch and control of power systems. The gradual development of Modelica supported these evolving applications over many years. Replaceable models are important for the flexible adaptation of electrical system models with different mathematical representations for applications at hand. Stream connectors enable the reliable modeling of thermo-fluid systems. Synchronous models support discrete-time control and inline integration. Last but not least, the export of efficient executable model code and derivatives with FMI is crucial for model-based control. Recent developments focus on large-scale sparse systems and parallel optimization for HVDC transmission systems and virtual power plants that integrate vast numbers of small aggregates.