Print Email Facebook Twitter Model predictive control and protection of MMC-based MTDC power systems Title Model predictive control and protection of MMC-based MTDC power systems Author Shetgaonkar, A.D. (TU Delft Intelligent Electrical Power Grids) Liu, L. (TU Delft Intelligent Electrical Power Grids) Lekic, A. (TU Delft Intelligent Electrical Power Grids) Popov, M. (TU Delft Intelligent Electrical Power Grids) Palensky, P. (TU Delft Intelligent Electrical Power Grids) Date 2023 Abstract Meshed offshore grids (MOGs) present a viable option for a reliable bulk power transmission topology. The station-level control of MOGs requires faster dynamics along with multiple objective functions, which is realized by the model predictive control (MPC). This paper provides control, and protection design for the Modular Multilevel Converter (MMC) based multi-terminal DC (MTDC) power system using MPC. MPC is defined using a quadratic cost function, and a dqz rotating frame voltage inputs are represented using Laguerre orthonormal functions. MPC has been applied for the control of both grid forming and grid following converters in a four-terminal MTDC setup, implemented for real-time Electromagnetic Transient (EMT) simulation. By applying numerous time-domain simulations, the advantages of the MPC when dealing with AC and DC side disturbances are investigated. The investigation highlights the MPC's inherent feature of fast response and high damping during- and post-disturbance, which is compared to the traditional PI controller performance. The analysis provides a comprehensive insight into the transient behavior of the MTDC during disturbances. Subject GTFPGAMMCModel predictive controlMTDCSoftware-in-the-loopVARC DC CBWind power plant To reference this document use: http://resolver.tudelft.nl/uuid:9031353f-aecd-4e6a-95b8-d7810e6bcc84 DOI https://doi.org/10.1016/j.ijepes.2022.108710 ISSN 0142-0615 Source International Journal of Electrical Power & Energy Systems, 146 Part of collection Institutional Repository Document type journal article Rights © 2023 A.D. Shetgaonkar, L. Liu, A. Lekic, M. Popov, P. Palensky Files PDF 1_s2.0_S0142061522007062_main.pdf 10.83 MB Close viewer /islandora/object/uuid:9031353f-aecd-4e6a-95b8-d7810e6bcc84/datastream/OBJ/view