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System Level Control and Optimisation of Microgrids
Microgrids are essential components of next-generation energy grids. A microgrid is a local, integrated energy system comprising interconnected loads and distributed energy resources; they can represent urban or rural districts, islands or local communities. Microgrids can operate in parallel with the main grid or independently in an intentional island mode. When on-site generation is included, intelligent buildings can also function as microgrids. Efficient optimization and control algorithms are crucial for ensuring optimal microgrid performance, making them a continuous focus of research and development in the field of power systems.
The next-generation energy grid and urban environment need to be smart and sustainable to deal with the growing energy demand and achieve environmental goals. In this context, the role of local energy systems at the distribution level, which can represent urban or rural districts, islands or local communities, is crucial.
System Level Control and Optimisation of Microgrids offers a comprehensive and systematic review of developments in this field. The chapters cover topics such as modelling of integrated energy systems and district heating systems, dynamics and control of grid-connected microgrids, frequency regulation, distributed optimization for energy grids, integration of distributed energy resources, transactive energy management for multi-energy microgrids, and laboratory validation. Real-world examples are provided through case studies based on the EUREF Energy Workshop and fog computing-based decentralized energy management.
This book presents a wide range of perspectives from academia and industry on the challenges and solutions in microgrid optimization and control. It serves as a thorough resource for engineers and academics in the control and power systems fields, as well as for graduate students in related disciplines. Advanced control and optimization techniques for microgrids are discussed in depth, with examples and case studies demonstrating their practical application in shaping the future of energy systems.
About the Editors
Alessandra Parisio is a professor of control of sustainable energy networks at the University of Manchester, UK. She has been and is principal or co-investigator on research projects supported by e.g. Innovate UKRI, European Commission, and industrial partners. She serves as IEEE sr. member and co-chair of the IEEE RAS Technical Committee on Smart Buildings and as editor of the IEEE Transactions on Control of Network Systems, European Journal of Control and Applied Energy.
Johannes Schiffer is a professor for control systems and network control technology at the Brandenburg University of Technology Cottbus-Senftenberg, Germany, in a joint appointment with the Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems (IEG). Prior appointments include a Lecturer (Assistant Professor) position at the School of Electronic and Electrical Engineering, University of Leeds, UK.
Christian Hans is a postdoctoral researcher with the Control Systems Group at the Department of Electrical Engineering and Computer Science at Technische Universität (TU) Berlin, Germany. He earned a PhD with distinction from TU Berlin in 2021. Before joining TU Berlin, He worked as engineering expert at Younicos AG (now Aggreko plc), Germany, developing control algorithms for low-inertia microgrids. His research combines automatic control theory and applications in power systems with intermittent decentralized renewable generation.
Publication Year:
2024
Pages:
304
ISBN-13: 978-1-78561-875-8
Format:
HBK
Editors:
Alessandra Parisio, Johannes Schiffer, Christian Hans