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Inhaltsangabe
The increased use of the electricity has given rise request for stable power providing and stable voltage. In an interconnected power system, power is being exchanged between areas over interconnecting tie lines. The desired objectives in this book are designing the area Load Frequency Control (LFC) to have some degree of control over tie-line power flow and frequency of individual areas as well as to keep the voltage over it using Automatic Voltage Regulator (AVR) in stable and suitable value. It is important to properly design the area LFC and AVR to improve both the system quality and reliability delivered to consumers. In the actual power systems, there exists nonlinearities such as parameters variations and generation rate constraint for generating units; so the work has been considered them. Accordingly, control obtained for LFC as well as AVR based on Particle Swarm Optimization are proposed, since those techniques are capable of dealing with nonlinear models. This study proposes both I and PID controllers for load frequency control and voltage control using various types of evolutionary computation techniques. They are intensively used to tune the proposed controllers.
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Reseña del editor
The increased use of the electricity has given rise request for stable power providing and stable voltage. In an interconnected power system, power is being exchanged between areas over interconnecting tie lines. The desired objectives in this book are designing the area Load Frequency Control (LFC) to have some degree of control over tie-line power flow and frequency of individual areas as well as to keep the voltage over it using Automatic Voltage Regulator (AVR) in stable and suitable value. It is important to properly design the area LFC and AVR to improve both the system quality and reliability delivered to consumers. In the actual power systems, there exists nonlinearities such as parameters variations and generation rate constraint for generating units; so the work has been considered them. Accordingly, control obtained for LFC as well as AVR based on Particle Swarm Optimization are proposed, since those techniques are capable of dealing with nonlinear models. This study proposes both I and PID controllers for load frequency control and voltage control using various types of evolutionary computation techniques. They are intensively used to tune the proposed controllers.
Biografía del autor
Ali Mohamed received the B.Sc. 2009, from Modern Academy for Engineering and Technology in Electronic and Communication branch. He received the M.Sc. degree from Cairo University, Cairo, Egypt in 2016 and the thesis was "Control of Multi Area Power System Based on Different Particle Swarm Optimization". He works in Cairo North Power Station, Egypt.
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Control of Multi Area Power System Based on Evolutionary Techniques
Verlag:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202199946
ISBN 13: 9786202199940
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The increased use of the electricity has given rise request for stable power providing and stable voltage. In an interconnected power system, power is being exchanged between areas over interconnecting tie lines. The desired objectives in this book are designing the area Load Frequency Control (LFC) to have some degree of control over tie-line power flow and frequency of individual areas as well as to keep the voltage over it using Automatic Voltage Regulator (AVR) in stable and suitable value. It is important to properly design the area LFC and AVR to improve both the system quality and reliability delivered to consumers. In the actual power systems, there exists nonlinearities such as parameters variations and generation rate constraint for generating units; so the work has been considered them. Accordingly, control obtained for LFC as well as AVR based on Particle Swarm Optimization are proposed, since those techniques are capable of dealing with nonlinear models. This study proposes both I and PID controllers for load frequency control and voltage control using various types of evolutionary computation techniques. They are intensively used to tune the proposed controllers. 164 pp. Englisch. Bestandsnummer des Verkäufers 9786202199940
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Control of Multi Area Power System Based on Evolutionary Techniques
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202199946
ISBN 13: 9786202199940
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali Mahmoud Ali MohammedAli Mohamed received the B.Sc. 2009, from Modern Academy for Engineering and Technology in Electronic and Communication branch. He received the M.Sc. degree from Cairo University, Cairo, Egypt in 2016 and the . Bestandsnummer des Verkäufers 385934247
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Control of Multi Area Power System Based on Evolutionary Techniques
Verlag:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202199946
ISBN 13: 9786202199940
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The increased use of the electricity has given rise request for stable power providing and stable voltage. In an interconnected power system, power is being exchanged between areas over interconnecting tie lines. The desired objectives in this book are designing the area Load Frequency Control (LFC) to have some degree of control over tie-line power flow and frequency of individual areas as well as to keep the voltage over it using Automatic Voltage Regulator (AVR) in stable and suitable value. It is important to properly design the area LFC and AVR to improve both the system quality and reliability delivered to consumers. In the actual power systems, there exists nonlinearities such as parameters variations and generation rate constraint for generating units; so the work has been considered them. Accordingly, control obtained for LFC as well as AVR based on Particle Swarm Optimization are proposed, since those techniques are capable of dealing with nonlinear models. This study proposes both I and PID controllers for load frequency control and voltage control using various types of evolutionary computation techniques. They are intensively used to tune the proposed controllers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch. Bestandsnummer des Verkäufers 9786202199940
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Control of Multi Area Power System Based on Evolutionary Techniques
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202199946
ISBN 13: 9786202199940
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The increased use of the electricity has given rise request for stable power providing and stable voltage. In an interconnected power system, power is being exchanged between areas over interconnecting tie lines. The desired objectives in this book are designing the area Load Frequency Control (LFC) to have some degree of control over tie-line power flow and frequency of individual areas as well as to keep the voltage over it using Automatic Voltage Regulator (AVR) in stable and suitable value. It is important to properly design the area LFC and AVR to improve both the system quality and reliability delivered to consumers. In the actual power systems, there exists nonlinearities such as parameters variations and generation rate constraint for generating units; so the work has been considered them. Accordingly, control obtained for LFC as well as AVR based on Particle Swarm Optimization are proposed, since those techniques are capable of dealing with nonlinear models. This study proposes both I and PID controllers for load frequency control and voltage control using various types of evolutionary computation techniques. They are intensively used to tune the proposed controllers. Bestandsnummer des Verkäufers 9786202199940
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Control of Multi Area Power System Based on Evolutionary Techniques
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202199946
ISBN 13: 9786202199940
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Paperback. Zustand: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock. Bestandsnummer des Verkäufers zk6202199946
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