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Optimal Power Management Strategy for Energy Storage with Stochastic Loads



Staff, Students

Speaker: Professor Victor Becerra, School of Engineering, University of Portsmouth, UK

Research Centre: Research Centre for Systems and Control

Title: Optimal Power Management Strategy for Energy Storage with Stochastic Loads


In this seminar, an optimal power management strategy for the control of energy storage in a system that is subject to loads of random duration is described. The strategy minimises the costs associated with energy consumption of systems powered by a primary energy source and equipped with energy storage, under the assumption that the statistical distribution of load durations is known. By including the variability of the load in the cost function it is possible to define the optimality criteria for the power flow of the storage. Numerical calculations using dynamic programming have been performed resulting in control strategies that minimise energy costs for a wide range of initial conditions of the system. The resulting optimal control strategies have been tested on a MATLAB/Simulink model of a Rubber Tyred Gantry (RTG) crane equipped with a flywheel energy storage system and subject to a test cycle which is representative of the real operation of a crane in the Port of Felixstowe, UK. The results show increased energy savings and reduced peak power demand with respect to existing control strategies, indicating considerable potential energy savings for port operators, as well as potential for a reduction in the power rating of the prime energy source.

Short Bio:

Professor Victor Becerra completed his BEng in Electrical Engineering at Simon Bolivar University, Venezuela, in 1990, and his PhD in Control Engineering from City University, London, in 1994. Between 1989 and 1991, he was employed as an electrical engineer at C.V.G. Edelca, Caracas, Venezuela. Between 1994 and 1999 he was a post-doctoral research fellow the Control Engineering Research Centre at City University of London. During the period between 2000 and 2015 he was an academic at the School of Systems Engineering, University of Reading, UK, where he became a Professor of Automatic Control in 2012. Since 2015, he has been a Professor of Power Systems Engineering, Director of the Intelligent and Networked Systems Research Group, and Deputy Head at the School of Engineering, University of Portsmouth, UK.

His current research interests consider a range of issues related to electrical power systems, as well as the methods and applications of automatic control. These interests include control of power systems, energy storage and its integration to power grids, computational intelligence for power plant monitoring, computational optimal control, nonlinear control, state estimation, and autonomous systems. During his career he has received research funding from the EPSRC, the Royal Academy of Engineering, the European Space Agency, the Knowledge Transfer Partnership programme, the EU, and UK industry.

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When & where

1.00pm - 2.00pmWednesday 22nd February 2017

AG10 College Building City, University of London St John Street London EC1V 4PB United Kingdom