| Biography | |
|---|---|
 Prof. Michael John Short Teesside University, UK |
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| Title: Informatics and Control for Energy Management in Smart Grid Applications | |
| Abstract: Smart grids are electrical grids that include a variety of interoperable communication and control devices to optimally facilitate the production, distribution and consumption of electricity. Smart grids allow better integration of renewable energy sources and flexible transmission resources, along with energy storage devices, electric vehicles, microgrids and controllable loads; they are seen as key enablers in the decarbonisation of both industry and society. This talk will outline innovative and disruptive services for energy dispatch and control developed within the context of the IDEAS, DR-BoB, InteGridy and REACT EU-funded research and innovation projects. The talk will first focus upon describing the types of real-time asset control and optimization problems which can arise on both energy supply and demand sides, and associated communications and integration issues related to asset dispersion over wide areas. It will then progress to describing solutions which generate coordinated, optimal (or near-optimal) dispatch instructions for generation and consumption assets in real-time within the context of a rolling-horizon optimization framework. It will also outline effective strategies for integration and supervisory control of assets within an IoT framework. The talk will then describe details of implementation within a Fog computing framework, and will present simulation and practical results for algorithms tailored to dispatch of Combined Heat and Power (CHP) Plant, domestic Smart Appliances, Offshore Wind Turbines and also commercial Heating, Ventilation and Air Conditioning (HVAC) loads. Finally, it will outline some of the open issues and challenges in related Smart Grid areas which should be of interest to the wider industrial and mechanical/manufacturing engineering community. Keywords Automation, Smart Grid, Renewable Energies, Energy Management, Optimization of Systems | |
| Biography: Michael Short is a Professor of Control Engineering and Systems Informatics at Teesside University. He holds a BEng degree in electronic and electrical engineering (1999, Sunderland) and a PhD degree (2003, Sunderland) awarded following research into algorithms and architectures for real-time robot control. Following the award of his PhD and a brief spell as a research assistant in industrial AI, Michael spent seven years working as a research associate and then lecturer at the University of Leicester. In January 2010 he joined Teesside University as a senior lecturer in electronics and control. He was awarded a Readership in January 2015 and Professorship in August 2020. He currently leads the multidisciplinary Centre for Sustainable Engineering within the School of Computing, Engineering and Digital Technology, and leads the Energy Conversion, Management and Control research theme within this center. The outputs of the research group have been recognized as world-leading or internationally excellent in terms of their quality and impact. Michael’s research interests encompass aspects of Industrial Informatics and Control/Optimization applied to application areas such as Smart Grids, Robotics/Process Control and Automotive systems. He has more than seventeen years' experience of research at postdoctoral level and has authored or co-authored over 140 reviewed publications in international conferences and journals. He has received over 1,200 citations and has won four best paper awards at international conferences. He currently has a h-index of 21 and i-10 index of 36. He has supervised five PhD completions and currently has seven PhD students. He is investigator/co-investigator on numerous completed and ongoing FP7, H2020 and UK government/private funded research projects. He is a regular reviewer for several International Conferences and Journals, including those published by IEEE, IET, Elsevier, Springer, ACM and IFAC. He is an Associate Editor for the International Journal of Energies (Basel), is a full member of the IET and the EPC, a fellow of the HEA, and a sub-committee member of the IEEE Technical Committee on Factory Automation. | |
