Energy market activities together with integration of renewable energies are currently causing an increase of distance between generation and load as well as an increase of volatility of power flows. As a consequence, the Transmission System Operators install Power Flow Controlling (PFC) devices to increase transmission capacity and controllability of their grids. In this thesis a new real-time coordination system for PFC-devices is developed, using a distributed approach. Agents exchange local information about the status and loading of power system devices. By evaluation of these messages, controlling agents perform a distributed topology and sensitivity analysis to be used in a weighting function to determine the next control actions. The coordination system is verified by comparing it with optimally coordinated set-points provided by an Optimal Power Flow tool for several test cases. As a further verification the dynamic control behavior of the multi-agent coordination system is tested on a reduced representation of a transmission system with several PFCs having mutual impact on each other. These test cases show that the coordination system reacts in an appropriate and robust way on contingency events. The impact of communication delays and different sensor reporting rates on the PFC control is negligible for Phase Shifting Transformers, while the control behavior of fast PFC-devices is significantly influenced.weiterlesen