Model Predictive Control for Microgrids: From Power Electronic Converters to Energy Management - Rilegato
Libro 62 di 65: Energy Engineering
Sinossi
Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well.
This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments.
Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization.
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
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The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978
ISBN 13: 9781839533976
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Hardback. Condizione: New. Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well. This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments. Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization. Codice articolo LU-9781839533976
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
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ISBN 13: 9781839533976
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
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The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978
ISBN 13: 9781839533976
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
Editore:
The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978
ISBN 13: 9781839533976
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ISBN 13: 9781839533976
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Condizione: New. Über den AutorJiefeng Hu is an associate professor in power electronics and smart microgrids, and the program coordinator (electrical engineering) of the School of Engineering, Information Technology and Physical Sciences at Fede. Codice articolo 498366010
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Model Predictive Control for Microgrids
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Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839533978
ISBN 13: 9781839533976
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Hardback. Condizione: New. Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well. This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments. Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization. Codice articolo LU-9781839533976
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