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Application of Distributed Control to Smart Grids
Date: 2018/4/23             Browse: 66

Speaker:     Dr. Karl Worthmann, TU Ilmenau

Time:          14:00—15:00, Apr 23

Location:    Room 1A-200, SIST Building

Host:          Prof. Boris Houska


In this talk, a hierarchical, iterative distributed optimization algorithm is presented, which converges to the solution of a particular global optimization problem. The motivation for the distributed optimization problem is the predictive control of a smart grid, in which the states of charge of a network of residential-scale batteries are optimally coordinated so as to minimize variability in the aggregated power supplied to/from the grid by the residential network. The results are illustrated within a numerical case study using data from an Australian electricity distribution network.


 Karl Worthmann received his Diploma degree and his Ph.D. in mathematics from the University of Bayreuth, Germany. He is Assistant Professor at Technische Universit?t Ilmenau, Germany. His current research interests include mathematical systems theory with a particular focus on nonlinear model predictive control and sampled-data systems. He was the recipient of the Ph.D. Award from the City of Bayreuth and the German National Academic Foundation Scholarship. 2013 he has been appointed Junior Fellow of the Society of Applied Mathematics and Mechanics.

SIST-Seminar 18021