CAP Seminar Series



Title: Battling the Extreme with Resilient Power Grids: How ready are we?

SpeakerMathaios Panteli, The University of Manchester

Venue: EEE 1109B

Date and Time: Tuesday 11 June 2019, 14:00-15:00

AbstractRecent climate-change driven extreme events and natural hazards, such as severe storms, hurricanes and earthquakes, have placed resilience in the spotlight of key stakeholders and policy-makers in the power system community worldwide. There is a growing concern over the critical need to address and boost resilience to such disastrous events, which are referred to as black sky hazards. This talk will share experiences and applications from relevant national and international research projects in the area of resilient power systems planning and operation. It will cover conceptual frameworks for better understanding the multi-faceted concept of resilience and advanced quantitative techniques based on specifically designed resilience metric systems, as well as risk-based and integrated planning approaches to support the decision-making on designing resilient power systems. The talk will conclude with insights on ongoing national and international relevant efforts (including activities in international professional bodies, such as IEEE and CIGRE ), further highlighting the recognition by the global power system community of the pressing need to move towards a more resilience-oriented engineering.

BiographyDr Mathaios Panteli is a Lecturer in Power Systems in the Power and Energy Division, School of Electrical and Electronic Engineering, The University of Manchester, UK. His main research interests focus on reliability, risk and resilience of future, low-carbon power networks, system integration of distributed energy resources and integrated modelling of co-dependent critical infrastructures. He has an extensive publication record in these areas and has been invited to give numerous seminars and talks in world-leading Universities, conferences and organizations. He currently leads/is involved in research projects of total worth over £10m in the areas of resilient and sustainable power systems planning and operation. Dr Panteli is an IEEE Senior Member, the co-chair and technical coordinator of the CIGRE working group C4.47 “Power System Resilience” and an invited member in multiple working groups in IEEE and CIRED . Notably, he is also the recipient of the 2018 Newton Prize, an annual prize awarded by Newton Fund, UK, to research projects between UK and Newton countries that demonstrated excellence in innovation, research and impact.

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SepulchreTitle: Control across scales, by positive and negative feedback

SpeakerRodolphe Sepulchre, University of Cambridge

Venue: EEE 1109B

Date and Time: Wednesday 12 June 2019, 14:00-15:00

AbstractFeedback is a key element of regulation, as it shapes the sensitivity of a process to its environment. Positive feedback up-regulates, negative feedback down-regulates. Many regulatory processes involve a mixture of both, whether in nature or in engineering. This talk revisits the mixed feedback paradigm, with the aim of investigating control across scales. We propose that mixed feedback regulates excitability and that excitability plays a central role in multi-scale signalling. We analyse this role in a multi-scale network architecture inspired from neurophysiology. The nodal behavior defines a meso-scale that connects actuation at the micro-scale to measurements at the macro-scale. We show that mixed-feedback control at the nodal scale provides regulatory principles at the network scale, with a nodal resolution. In this sense, the mixed feedback paradigm is a control principle across scales.

BiographyRodolphe Sepulchre is Professor of Engineering at Cambridge University and a fellow of Sidney Sussex College. His research interests are in dynamics, control and optimization. He is currently deputy Editor-in-Chief of the IEEE Control Systems Magazine and Associate Editor of Annual Review of Control, Robotics, and Autonomous Systems. He bas been EiC of Systems and Control Letters from 2009 to 2018 and an Associate Editor for SIAM Journal of Control and Optimization, the Journal of Nonlinear Science, and Mathematics for Control, Signals, and Systems. In 2008, he was awarded the IEEE Control Systems Society Antonio Ruberti Young Researcher Prize. He is a fellow of IEEE and SIAM . He has been IEEE CSS distinguished lecturer between 2010 and 2015. A focus of his current research is the ERC advanced grant “Switchlets”, motivated by neurophysiological questions and aiming at a multiresolution control theory of excitable systems. He co-authored the monographs “Constructive Nonlinear Control” (Springer-Verlag, 1997) and “Optimization on Matrix Manifolds” (Princeton University Press, 2008).

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donaireTitle: Integral action controllers for port Hamiltonian systems with disturbances

SpeakerAlejandro Donaire, University of Newcastle, Australia

Venue: EEE 1109B

Date and Time: Tuesday 18 June 2019, 14:00-15:00

Abstract: Integral actions have been widely used to compensate for the effect of disturbances and modelling errors. However, sometimes these practical designs are not supported by a theoretical framework that ensures stability properties of the closed loop. In this talk, we will discuss various methods to design integral actions for port-Hamiltonian systems. In the port-Hamiltonian framework, integral actions of the passive output can be easily added into the feedback loop without major difficulties. However, the design of integral controllers becomes more involved when the integral action of an output that is not necessarily passive is required, and also when the effect of matched and unmatched disturbances is considered. In the first part of the talk, we will focus on the design of integral actions of passive outputs, and will also discuss its limitations in mechanical systems. In the second part of the talk, we will present two methods to design integral actions of outputs that are not necessarily passive for port-Hamiltonian systems with matched and unmatched disturbances. We will illustrate the application of these control designs on mechanical and electromechanical systems.

BiographyAlejandro Donaire received the Electronic Engineering and PhD degrees in 2003 and 2009, respectively, from the National University of Rosario, Argentina. In 2009, he joined the Centre for Complex Dynamic Systems and Control at The University of Newcastle, Australia. From 2015 to March 2017 he was with the PRISMA Lab at the University of Naples Federico II. In 2017, he joined the Institute for Future Environments, School of Electrical Engineering and Computer Science, Queensland University of Technology, Australia. Since 2019, he is with the School of Engineering, The University of Newcastle, Australia, where he conducts his academic activities. His research interests include nonlinear and energy-based control theory with application to mechanical systems, marine and aerospace systems, robotics and mechatronics, electrical drives, multi-agent systems, and power systems.

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ShamesTitle: Recent Advances in Online Optimisation Theory and Application

SpeakerIman Shames, University of Melbourne

Venue: EEE 1109B

Date and Time: Thursday 20 June 2019, 11:00-12:00

AbstractIn this talk, recent results in the area of online convex optimisation are presented. First, the problem of incorporating future information in the form of the estimated value of future gradients in online convex optimisation is investigated. This is motivated by demand response in power systems, where forecasts about the current round, using historical data e.g., the weather or the loads’ behaviour, can be used to improve on predictions. Specifically, we introduce an additional predictive step that follows the standard online convex optimisation step when certain conditions on the estimated gradient and descent direction are met. We show that under these conditions and without any extra assumptions on the predictability of the environment, the predictive update strictly improves on the performance of the standard update. We present two types of predictive update for various family of loss functions. We provide a regret bound for each of our predictive online convex optimisation algorithms. We apply our framework to an example based on demand response which demonstrates its superior performance to a standard online convex optimisation algorithm. Second, a two level online optimisation algorithm for optimising the building’s energy management under uncertainty and limited information is introduced. A mixed-integer linear program scheduling level is first used to set an energy management objective for every hour using only averaged data. Then, an online convex optimisation algorithm is used to track in real-time the objective set by the scheduling level. For this purpose, a novel penalty-based online convex optimisation algorithm for time-varying constraints is developed. The regret of the algorithm is shown to be sublinearly bounded above. This ensures, at least on average, the feasibility of the decisions made by the algorithm. A case study in which the two-level approach is used on a building located in Melbourne, Australia is presented. The approach is shown to satisfy all constraints 97.32% of the time while attaining a positive net revenue at the end of the day by providing ancillary services to the power grid.

BiographyIman Shames is currently a Senior Lecturer at the Department of Electrical and Electronic Engineering, the University of Melbourne. He had been a McKenzie fellow at the same department from 2012 to 2014. Previously, he was an ACCESS Postdoctoral Researcher at the ACCESS Linnaeus Centre, the KTH Royal Institute of Technology, Stockholm, Sweden. He received his Ph.D. degree in engineering from the Australian National University, Canberra, Australia in 2011. His current research interests include, but are not limited to, optimisation theory and numerical optimisation, mathematical systems theory, and security and privacy in cyber-physical systems.

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Past talks of CAP Seminar Series