Control and Protection of Multi-Terminal DC Distribution Grids

////Control and Protection of Multi-Terminal DC Distribution Grids
Control and Protection of Multi-Terminal DC Distribution Grids 2020-10-20T17:02:31+00:00

Control and Protection of Multi-Terminal DC Distribution Grids

Abstract:

This three-hour tutorial presents new developments in the field of control and protection of multi-terminal DC (MTDC) distribution grids. The tutorial is divided in three one-hour parts: converter-level control, system-level control, and system-level protection. Each part includes 45-50 min presentation and 10-15 min discussion/questions. In the first part, the challenges and control objectives of the voltage regulation in DC/DC converters are discussed. The design of control structures based on virtual disturbance estimation and rejection will be presented. The stability of these controllers, applied in converters of MTDC systems, is investigated. Simulations of hardware implementation demonstrate their real-time performance. The second part starts with the discussion of challenges and objectives of system-level control and coordination of converter-interfaced distributed energy resources (DER) in the MTDC distribution grids. This part of the tutorial presents a distributed optimal power flow (OPF) algorithm and discusses its scalability through simulation results. Modifications of the algorithm for tolerance to failures in the communication network are also presented. In the third part, the characteristics and impact of faults in MTDC systems are analysed and the challenges to fault protection are described. Different methods of fault diagnosis in MTDC systems are introduced. This part of the tutorial also presents the implementation and tests of a fault isolation method in MTDC systems based on signal processing techniques.

 

 

Instructors:

 

Antonello Monti received his M.Sc degree (summa cum laude) and his PhD in Electrical Engineering from Politecnico di Milano, Italy in 1989 and 1994 respectively.  He started his career in Ansaldo Industria and then moved in 1995 to Politecnico di Milano as Assistant Professor.  In 2000 he joined the Department of Electrical Engineering of the University of South Carolina (USA) as Associate and then Full Professor.  Since 2008 he is the director of the Institute for Automation of Complex Power System within the E.ON Energy Research Center at RWTH Aachen University. Dr. Monti is author or co-author of more than 400 peer-reviewed papers published in international Journals and in the proceedings of International conferences. He is a Senior Member of IEEE, Associate Editor of the IEEE System Journal, Associate Editor of IEEE Electrification Magazine, Member of the Editorial Board of the Elsevier Journal SEGAN and member of the founding board of the Springer Journal “Energy Informatics”. Dr. Monti is the recipient of the 2017 IEEE Innovation in Societal Infrastructure Award.

Asimenia Korompili received the M.Sc. degree in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2010 and the second M.S. degree in Sustainable Energy (with specialisation in electric energy systems) from the Technical University of Denmark, Denmark in 2013. She is currently pursuing the Ph.D. degree in control structures for MTDC distribution grids in the Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany. From 2013 to 2014, she was a Research Assistant in the field of control of distributed energy resources in DC and AC/DC systems in the Center for Electric Power and Energy, Technical University of Denmark, Denmark. Since 2014 she is a Research Associate in the Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany. Her research interests include converter-level and system-level control of power electronics-dominated distribution grids, control of distributed energy resources and active network management, uncertainty and disturbance rejection control methods, decentralised and distributed control, distributed optimisation techniques, stability analysis and hardware-in-the-loop simulations.

Ting Wang received the B.E. degree in Electrical Engineering and Automation from Xi’an Jiaotong University, Xi’an, China in 2009, and the M.Sc. degree in Electrical Power Engineering from RWTH Aachen University, Aachen, Germany in 2012. From 2012 to 2017, he was with ABB China. At present, he is a Ph.D. student with the Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany. His major research interests include protection of DC distribution grids, fault diagnosis in complex power systems, modelling of DC systems, application of artificial intelligence and signal processing in power system protection.