@article{1451243,
      note = {Doctoral Thesis accepted by National University of  Singapore, Singapore, Singapore.},
      author = {Saha, Jaydeep.},
      url = {http://library.usi.edu/record/1451243},
      title = {Analysis, optimization and control of grid-interfaced  matrix-based isolated AC-DC converters /},
      abstract = {This book presents novel contributions in the development  of solid-state-transformer (SST) technology both for  medium-voltage (MV) and low-voltage (LV) utility grid  interfaces, which can potentially augment the grid  modernization process in the evolving power system  paradigm. For the MV interface, a single-stage AC-DC SST  submodule topology has been proposed, and its modulation  and soft-switching possibilities are analysed,  experimentally validated and adequately benchmarked. A  control scheme with power balance capability among  submodules is developed for MV grid-connected single-stage  AC-DC SST for smooth operation under inevitable parameter  drift scenario, and experimental validation shows excellent  performance under drastic load change conditions. A novel  machine learning-aided multi-objective design optimization  framework for grid-connected SST is developed and  experimentally validated, which equips a power electronics  design engineer with meagre computational resources to find  out the most optimal SST design in a convenient time-frame.  This book has also contributed towards the development of  dual-active-bridge (DAB)-type and non-DAB-type LV  grid-interfaced isolated AC-DC converters by providing  solutions to specific topology and modulation-related  shortcomings in these two types of topologies. A  comprehensive comparison of the DAB and non-DAB-type  LVAC-LVDC converters reveals the superiority of DAB-type  conversion strategy.},
      doi = {https://doi.org/10.1007/978-981-19-4902-9},
      recid = {1451243},
      pages = {1 online resource :},
}