Dealing with massive complexity and uncertainty in Smart Grid operation: Advanced distributed coordination and statistical modelling approaches.
Seminar by Dimitrios Papadaskalopoulos and Ioannis Konstantelos from Imperial College London.
The emerging Smart Grid is characterised by massive complexity as it involves the integration of a vast number of small-scale and diverse generation, flexible demand and storage technologies in system operation. Furthermore, it involves a high degree of uncertainty since the operational characteristics of new forms of electricity generation and demand are highly stochastic. These challenges cannot be addressed by traditional centralised and deterministic operation models and methodologies.
This presentation will outline advanced distributed coordination and statistical modelling approaches to deal efficiently with these challenges. In the first part, Dimitrios Papadaskalopoulos will present a distributed coordination mechanism for the optimal control of flexible electrical loads without knowledge of their operational parameters by a central entity. The proposed mechanism is founded on mathematical decomposition principles and employs smart measures to avoid the notorious problem of demand response synchronisation. In the second part, Ioannis Konstantelos will discuss the use of vine copulas and dimension reduction techniques for modelling high-dimensional stochastic variables. It will be demonstrated how such models can be used to generate large populations of training / testing datasets for inferring the stable operating region of a system.
Dimitrios Papadaskalopoulos is a Research Associate in the Control and Power research group of the Department of Electrical and Electronic Engineering at Imperial College London, where he also obtained his PhD in 2013. His research focuses on the development and application of distributed, market-based approaches for the coordination of operation and planning decisions in power systems, employing optimisation and game theoretic principles.
Ioannis Konstantelos is a Research Associate in the Control and Power research group of the Department of Electrical and Electronic Engineering at Imperial College London, where he also obtained his PhD in 2013. His research interests focus on the application of optimisation, statistical and machine learning techniques to large-scale operational and planning problems in energy systems.
Everybody is welcome. We hope to see you there!