Final Report Summary - PEGASE (Pan European Grid Advanced Simulation and state Estimation)
As a consequence, the organization of the operation of the ETN must adapt and become much more integrated and smart. The way the ETN operation was decoupled into national grids is far away. The ETN shall be, and already is, operated much closer to its physical limits. The awareness of the state of the system by the operator must be much more accurate and extended to all system wide phenomena putting the ETN possibly at risk.
The PEGASE project aimed at removing algorithmic barriers related to the monitoring, simulation and optimization of very large power systems. The project has produced powerful algorithms and fullscale prototypes validated on the European Transmission Network to enhance the cooperation among transmission system operators for the real time control and operational planning of the system.
The four-year R&D project ending June 2012 has developed new powerful algorithms and fullscale prototypes able to run the whole ETN model for state estimation, dynamic security analysis, optimization and real time dispatcher training. It was funded by the 7th Framework Program of the European Union and implemented by a consortium composed of 22 partners which included Transmission System Operators, expert companies and leading research centres. The project demonstrated the absolute need of coordination beyond the borders between TSOs when operating the ETN and the actual implementation of this coordination is to be agreed between the TSOs as exemplified by the regional coordination centres already set up.
The PEGASE project focused on removing algorithmic barriers to enable real time control and operational planning of the European Transmission System.
1. Non technical barriers were not the focus of this project. They will have to be addressed to enable the deployment of the proposed solutions that proved technically feasible.
2. No real set of data of the ETN were used in the PEGASE project but instead realistic data representative of the ETN. The objective was indeed to test the adequacy and performances of the prototypes and not to carry out a study on the European system.
3. Data management issues were not the main focus of the PEGASE project and they will be addressed in a dedicated R&D project: iTesla.
The PEGASE project aimed at removing algorithmic barriers related to the monitoring, simulation and optimization of very large power systems. The project has produced powerful algorithms and fullscale prototypes validated on the European Transmission Network to enhance the cooperation among transmission system operators for the real time control and operational planning of the system.
The four-year R&D project ending June 2012 has developed new powerful algorithms and fullscale prototypes able to run the whole ETN model for state estimation, dynamic security analysis, optimization and real time dispatcher training. It was funded by the 7th Framework Program of the European Union and implemented by a consortium composed of 22 partners which included Transmission System Operators, expert companies and leading research centres. The project demonstrated the absolute need of coordination beyond the borders between TSOs when operating the ETN and the actual implementation of this coordination is to be agreed between the TSOs as exemplified by the regional coordination centres already set up.
The PEGASE project focused on removing algorithmic barriers to enable real time control and operational planning of the European Transmission System.
1. Non technical barriers were not the focus of this project. They will have to be addressed to enable the deployment of the proposed solutions that proved technically feasible.
2. No real set of data of the ETN were used in the PEGASE project but instead realistic data representative of the ETN. The objective was indeed to test the adequacy and performances of the prototypes and not to carry out a study on the European system.
3. Data management issues were not the main focus of the PEGASE project and they will be addressed in a dedicated R&D project: iTesla.
