Professor Tim Green is Co-Director of the Energy Futures Lab, an institute that promotes and stimulates multi-disciplinary research, education and translation in energy at Imperial College London. His research is in formulating the future form of energy systems to support zero carbon futures and in particular the exploitation of the flexibility of power electronics to achieve high penetrations of variable renewable energy. He has researched Soft-Open-Points for enhanced operation of distribution networks, High Voltage DC for international interconnection and the stability of inverter-dominated grids and microgrids. He is a fellow of the Royal Academy of Engineering and IEEE.
The replacement of electro-mechanical machines by inverter-based resources (IBR) is fundamentally changing the dynamics and stability properties of grids, and further, the growth of small-scale resources raises the curse of dimensionality. How should theories and tools for stability analysis evolve to tackle these new properties and new dimensionality? This talk reviews recent progresses in stability analysis techniques including review of synchronisation across traditional generators, grid-following inverters and grid forming inverters and black-box, grey-box and white-box views of participation of individual IBR in modes of the system. Under pinning this are modelling techniques employing impedance spectrum models and new techniques in order reduction. Together, these methods offer useful advances for simplification and interpretation of complex grids and have been combined into a toolchain for automated stability analysis of large-scale grids.
Josep M. Guerrero received the B.S. degree in telecommunications engineering, the M.S. degree in electronics engineering, and the Ph.D. degree in power electronics from the Technical University of Catalonia, Barcelona, in 1997, 2000 and 2003, respectively. Since 2011, he has been a Full Professor with the Department of Energy Technology, Aalborg University, Denmark, where he is responsible for the Microgrid Research Program. From 2019, he became a Villum Investigator by The Villum Fonden, which supports the Center for Research on Microgrids (CROM) at Aalborg University. He,Prof. Guerrero, is the founder and Director of the same centre (www.crom.et.aau.dk)
His research interest is oriented to different microgrid frameworks in applications like microgrid clusters, IoT-based and digital twins, maritime microgrids for electrical ships, vessels, ferries and seaports, and space microgrids applied to nanosatellites, lunar bases, and closed ecological systems. Prof. Guerrero is an Associate Editor for a number of IEEE TRANSACTIONS. He has published more than 600 journal papers in the fields of microgrids and renewable energy systems, which are cited more than 60,000 times. During seven consecutive years, from 2014 to 2020, he was awarded by Clarivate Analytics (former Thomson Reuters) as Highly Cited Researcher with 50 highly cited papers.
This talk will begin by introducing the control of microgrids, the parallelisms with the human brain and the research for possible sources of inspiration in last frontiers of neuroscience. Then, control in electric power systems of satellites and space platforms will be presented, showing approaches that are extended from terrestrial microgrids and explaining the differences and challenges when it comes to apply them out in the space. Further, multi-microgrid systems will be discussed for moon craters in future lunar manmade bases. Finally, the extension from the hierarchical control of microgrids to bioastronautics in the control of closed ecological systems to support with oxygen, water, and food to the astronauts and creating thus creating new ecosystems for the moon and future mars bases.
Carl Ennis is Chief Executive of Siemens plc and Siemens Smart Infrastructure. He has worked in the power industry for more than 35 years. He is an engineer first, with a real passion for the breadth of the discipline. Having started his career as an apprentice, he is a keen advocate of the skills and diversity agendas, recognising the need for new and diverse thinking in ever-changing markets.
He has worked for Siemens for over 20 years, having been responsible for a number of the UK businesses, and has also spent 3 years living in Shanghai with responsibilities for the Power Services business across Asia Pacific. He is a Chartered Engineer, a fellow of the IET, sits on the President's Committee of the CBI, is Chair of Net Zero North West, a member of the Board of EngineeringUK, a member of the Government's Build Back Better Business Council, and a Visiting Professor of Practice at Newcastle University. .
Siemens globally supports their broad customer base to improve their productivity and journey towards, sustainably, achieving their net zero targets. However, businesses have many different constraints making every journey different, whether they are an SME or multinational. But thanks to Energy Solutions at Siemens, digital toolchains are providing insight, clarity and data allowing organisations to design tangible roadmaps to net zero. Siemens is collaborating with a number of progressive universities around the UK on digitally enhancing their facilities to sustainably deliver decarbonisation goals and reduce energy costs. One of the key enablers is the use of Siemens industrial software to create digital twins of the facilities and campus, which then incorporate our automated energy management systems to establish the best systems optimisations. As we spend 90% of our lives in buildings, it is important that these designed spaces can be realised for comfort, efficiency and safety, and that can be optimised in real-time to adapt to the conditions - this then has an impact on energy use, occupant density, facility design (storage, efficiency, safety in COVID-19 and heating and cooling).
Pierluigi Siano (M'09-SM'14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. His research activities are centred on demand response, on energy management, on the integration of distributed energy resources in smart grids, on electricity markets and on planning and management of power systems. In these research fields he has co-authored more than 550 articles including more than 300 international journal papers that received in Scopus more than 10,100 citations with an H-index of 49. In 2019 and 2020 he received the award as Highly cited Researcher by ISI Web of Science Group. He has been the Chair of the IES TC on Smart Grids. He is Editor for the Power & Energy Society Section of IEEE Access, IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Systems, Open Journal of the IEEE IES, IET Smart Grid and IET Renewable Power Generation.
A novel scalable and privacy-preserving distributed parallel optimization that allows the participation of large-scale aggregation of prosumers with residential PV-battery systems in the market for the ancillary service (ASM) is proposed in this paper. To consider both reserve capacity and reserve energy, day-ahead and real-time stages in the ASM are considered. A method, based on hybrid Variable Neighbourhood Search (VNS) and distributed parallel optimization is designed for the day ahead and real-time optimization. Different distributed optimization methods are compared and designed, and a new distributed optimization method based on Linear Programming (LP) is designed that overcomes previous methods based on integer and Quadratic programming (QP). The proposed LP-based optimization can be easily coded up and implemented on microcontrollers and connected to a designed Internet of Things (IoT) based architecture. Both day-ahead and real-time proposed optimization methods, by allocating the computational effort among local resources, are highly scalable and fulfil the privacy of prosumers.