For the preparation towards the real time operation of the electrical network, the transmission system operators (TSO) perform a set of static and dynamic simulations in order to validate the stability and the security of their network against unexpected events, related to weather phenomena or technical failures. Those simulations entail the need for dynamic models of the studied network, as well as the neighbouring networks, given the importance of the coupling between electrical networks. Furthermore, the dynamic models are permanently changing according to the consumption level, the production of renewable energies, and the electricity imports and exports of the country. To take those variations into account, TSO need to exchange a large number of data on the dynamic model of their own network, and they need to update the dynamic model of the neighbouring networks according to the received data. The dynamic model used to depict the neighbouring networks should nevertheless remain simple enough for the computing time to be compatible with the response times needed for the management of a network, and complete enough to provide accurate results.
The objective of this project is to improve model reduction and correction methods and to develop a methodology enabling an automatic update of the dynamic models used in power system analysis software. This methodology will be implemented in software and validated on test networks of different sizes.
The work will include the following research axes:
– Formulation of a methodology for the identification of the section of the dynamic model that can be simplified.
– Development of new reduction techniques for dynamic models.
– Adjustment of the reduced model according to changes in operating conditions.
– Definition of indicators for the quality monitoring of the reduced model.