Joan Marc Rodriguez is a Research Associate at the Dept. of Electrical and Electronic Engineering at Imperial College London. He obtained his Bachelor and Master degrees in energy engineering from the Barcelona College of Industrial Engineering (EUETIB), Universitat Politècnica de Catalunya (UPC) in 2013 and 2015 respectively. He obtained his PhD degree in electrical and electronic engineering from Imperial College London in 2019. Since then, he has been working as a research associate for the RENGA project (EP/R030235/1) to develop solutions to expand electrical power system in developing rural areas.
His current research interests include the control of power electronic converters for renewable energy technologies and HVDC power transmission. Specifically, his doctoral research explored the development of novel controllers based on Model Predictive Control (MPC) to optimise the performance of Modular Multilevel Converters. Currently, his work focuses on the design of power converters for small scale autonomous minigrids.
et al., 2021, Real-time optimization-based reference calculation integrated control for MMCs considering converter limitations, Ieee Transactions on Power Delivery, ISSN:0885-8977
et al., 2021, Design of a linear time-varying Model Predictive Control energy regulator for grid-tied VSCs, Ieee Transactions on Energy Conversion, Vol:36, ISSN:0885-8969, Pages:1425-1434
Chengwei L, Rodriguez-Bernuz JM, Junyent-Ferre A, A low-cost and efficient fault detection and location algorithm for LVDC microgrid, IEEE Workshop on Control and Modeling for Power Electronics (COMPEL), IEEE
Rodriguez Bernuz JM, Junyent Ferre A, Xiang X, 2021, Optimal droop offset adjustments for accurate energy trading in rural DC mini-grid clusters, 2020 International Conference on Smart Grids and Energy Systems (SGES 2020), IEEE, Pages:453-458
et al., Assessment of feasible DC microgrid network topologies for rural electrification in Rwanda: studying the Kagoma Village, 2020 International Conference on Smart Grids and Energy Systems (SGES 2020), IEEE