CAP Seminar Series


cdwTitle: Scales Paradigms in Control & Estimation of Large-scale networks

Speaker: Carlos Canudas-de-Wit, CNRS GIPSA-Lab, Grenoble, France

Venue: EEE 1109B

Date and Time: Friday 13 March 2020, 14:00-15:00

Abstract: In this talk we present some results from the ERC Scale-FreeBAck on the problem of model reduction, estimation and control of aggregates of large-scale systems with a limited number of measures/inputs. Aggregates here are “aggregated” variables functions of the systems state-space variables such as mean values. Examples of such a class of systems are traffic networks, Brain neural networks, heating systems, among others. The basic idea is to devise an aggregated model of the original large-scale system using the scale-free (SF) metric, which indicate that the degree distributions of the associated graph follow an exponential decaying law. Then, we discuss different partitioning algorithms leading to aggregated graphs with the SF desired distribution but also with the suited control/observation properties. In the talk, I also present the mathematical properties necessary for the average observability. The second part of the talk, presents a different alternative for cutting system complexity, which consist in representing a large traffic network as a continuum. That is, to approximate a large-scale dynamic graph (where each node represents a variable), by Partial Differential Equations. The objective of this second approach is to use the PDE model for designing boundary estimators and control.

Biography: Canudas-de-Wit, Carlos was born in Villahermosa, Tabasco, Mexico. He received his B.Sc. degree in electronics and communications from the Technological Institute of Monterrey, Mexico in 1980. In 1984 he received his M.Sc. in the Department of Automatic Control, Grenoble, France. He was visitor researcher in 1985 at Lund Institute of Technology, Sweden. In 1987 he received his Ph.D. in automatic control from the Polytechnic of Grenoble (Department of Automatic Control), France. Since then he has been working at the same department as “Director of Research at the CNRS ”, where He teaches and conducts research in the area of control systems. He is the current leader of the NeCS GIPSA -Lab (CNRS)-INRIA team on Networked Controlled Systems. He has established several industrial collaboration projects with major French companies (FRAMATOME, EDF , CEA, IFREMER , RENAULT, SCHNEIDER , ILL, IFP , ALSTOM). He has been associate editor of the IEEE -Transaction on Automatic Control, from 1992 to 1997, AUTOMATICA , from 1999 to 2002. He is currently Associated Editor of: the Asian Journal of Control (since 2010), IEEE Transaction on Control System Technology (Since 2013), and the IEEE Transaction on Control of System Networks (since 2013). He holds the presidency of the European Control Association (EUCA) for the period 2013-15, and served at the IEEE Board of Governors of the Control System Society 2011-2014. He holds the ERC Advanced-Grant 2015 Scale-FreeBack for the period 2016-2021. He is IEEE -Fellow of the IEEE Control System Society. He is also IFAC -Fellow. His research publications includes: 200 International conference papers, and 65 published papers in international journals, 5 books, 10 Book chapter, and holds 11 Patents.

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Title: Decentralized and distributed solutions for microgrids

Speaker: Dr. Qianwen Xu, Nanyang Technological University, Singapore

Venue: EEE 1109B

Date and Time: Monday 16 March 2020, 13:30-14:30

Abstract: Modern power grids are shifting towards more renewable, more power electronics, more DC and more distributed. The conventional centralized management is not suitable, calling for decentralized/distributed solutions for the complex future grids. Microgrids are building blocks for the future grids. There are many operational challenges to be addressed, including the critical demand-supply balance under the intermittent renewable generations, the economic operation requirement and the stability issue emerged from the high penetration of power electronic converters. This talk will present decentralized and distributed solutions for the above challenges. To compensate the power unbalance caused by the intermittency of renewable generations, a decentralized power management strategy is proposed for hybrid energy storage systems to achieve dynamic power sharing, bus voltage restoration and supercapacitor state of charge recovery; a distributed finite-time controller is further proposed to achieve bus voltage restoration and state of charge balancing of batteries. To achieve economic operation, an incremental cost based droop scheme is proposed for economic power sharing in autonomous AC, DC and hybrid AC/DC microgrids; a distributed and robust energy management system is proposed for networked hybrid microgrids. For stability issue, advanced control strategies are proposed for classical DC/DC converter, interleaved converter and multiple paralleled converter systems for stabilizing DC microgrids with constant power loads in a large signal sense.

Biography: Dr. Qianwen Xu received the B.Sc. degree from Tianjin University, China in 2014 and PhD degree from Nanyang Technological University, Singapore in 2018, both in electrical engineering. She has worked as a research associate in Hong Kong Polytechnic University and a postdoc research fellow in Aalborg University. Currently, she is a Wallenberg-NTU Presidential Postdoc Fellow in Nanyang Technological University in Singapore. She is also awarded the Alexander von Humboldt Research Fellowship for Postdoctoral Researchers, Chinese Government Award for Outstanding Self-Financed Students Abroad 2018, Excellent Doctorate Research Work in Nanyang Technological University, etc. Her research interests include control, stability, reliability and optimization of microgrids and power electronics based power systems.

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Past talks of CAP Seminar Series