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Model Predictive Control Microgrids by Jiefeng Guerrero (10 results)
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
US$ 141.35
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
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Model Predictive Control for Microgrids: From power electronic converters to energy management (Energy Engineering)
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
Condition: New.
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
US$ 148.86
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Model Predictive Control for Microgrids
Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
Hardback. Condition: 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.
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 160.69
Convert currencyUS$ 20.17 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Model Predictive Control for Microgrids : From Power Electronic Converters to Energy Management
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 163.56
Convert currencyUS$ 20.17 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Model Predictive Control for Microgrids: From power electronic converters to energy management (Energy Engineering)
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 184.91
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Model Predictive Control for Microgrids
Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
US$ 163.85
Convert currencyUS$ 50.00 shipping within U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: 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.
-
Model Predictive Control for Microgrids: From power electronic converters to energy management (Energy Engineering)
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
US$ 214.65
Convert currencyUS$ 33.61 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to baskethardcover. Condition: New. New. book.
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Model Predictive Control for Microgrids: From Power Electronic Converters to Energy Management
Published by INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839533978 ISBN 13: 9781839533976
Language: English
US$ 217.39
Convert currencyUS$ 57.32 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
