The replacement of directly connected synchronous generators with power electronics interfaced generation has led to a decrease in system’s inertia posing a significant challenge on frequency dynamics. In isolated systems with reduced inertia the role of storage becomes crucial. Indicative abstracts from the CIGRE WG C6.43 and results from studies in island systems will be overviewed. Moreover, predefined limits for renewable penetration and primary reserves are frequently set for dynamic security purposes. This approach might not ensure dynamic security or can prove conservative in certain conditions. Furthermore, these approaches rarely consider the capabilities of inverter based renewable generation to provide frequency services. In this presentation, a data driven approach, based on optimal classification trees is described to extract, from a detailed dynamic model of the system, the constraints for a frequency dynamic unit commitment formulation. Hence, both dynamic security and optimal exploitation of renewable and conventional units for power production and frequency support can be achieved. The advantages of the proposed method compared to conventional and state of the art approaches in frequency security are validated through dynamic simulations on a realistic model of Rhodes island. Its economic performance, computational overhead and modelling complexity is compared to alternative approaches.
Despite the benefits however, system operators may be reluctant to embrace AI solutions, as the models may be challenging to interpret, perceived as black boxes. Additional concerns may arise regarding the adequacy of testing under realistic conditions. In the presentation these concerns are addressed by introducing a digital twin designed for the realistic testing of dynamic security assessment applications in the system of Rhodes. The developed digital twin incorporates two options for the virtual model of the island: an interface with a commercial RMS/EMT software and a real time simulator together with an industrial under frequency load shedding protection equipment. The settings of the actual field devices on the island are tested through a hardware in the loop interface.
Co-sponsored by: University of California, Riverside
Speaker(s): Dr. Nikolas Hatziargyriou,
Agenda:
– Welcome and Speaker Introduction – 3 minutes
– Presentation – Approximately 45 minutes
– Q&A Session – Approximately 10 minutes
– Future Webinar Announcement and Closing Remarks – 2 minutes
Virtual: https://events.vtools.ieee.org/m/444890