東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling, identification and control...

Derbel, Nabil.

Linked to FindBook

Google Book

Amazon

博客來

Modeling, identification and control methods in renewable energy systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling, identification and control methods in renewable energy systems/ edited by Nabil Derbel, Quanmin Zhu.
other author:	Derbel, Nabil.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	viii, 372 p. :ill., digital ;24 cm.
[NT 15003449]:	Emulation of Wind Turbine for Standalone Wind Energy Conversion Systems -- The ripple correlation optimal point determination in a medium power wind conversion system and performance evaluation with respect to conventional algorithms -- Direct Power Control of DFIG Using Sliding Mode Control Approach -- Photovoltaic power prediction using recurrent neural network -- Control of Wind Turbine based on PMSG using Pitch Angle Control -- Feedback T-S fuzzy controller in finite frequency for wind turbine -- Control of Power of a DFIG Generator with MPPT Technique for Wind Turbines Variable Speed -- A Comparative study between PI and sliding mode control for the DFIG of a wind turbine -- A comprehensive Comparison of two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems -- Modeling and performance analysis of a solar PV power system connected to a three phase load under irradiation and load variations -- Intelligent Load Frequency Control in Presence of Wind Power Generation -- ZedBoard-FPGA Control of the DFIG based Wind Power System -- An FPGA-based control of the PMSG on Variable Wind Speed Turbine -- Modeling and Comparison of Boost Converter With Cascaded Boost Converters -- Fault Tolerant Control of Switch Power Converter In WECS Based on a DFIG -- SSDI-Max control and its applications in renewable -- Nonlinear Control of variable speed Wind Energy Conversion System based PMSG.
Contained By:	Springer eBooks
Subject:	Renewable energy sources - Research. -
Online resource:	https://doi.org/10.1007/978-981-13-1945-7
ISBN:	9789811319457

Modeling, identification and control methods in renewable energy systems
Modeling, identification and control methods in renewable energy systems[electronic resource] /edited by Nabil Derbel, Quanmin Zhu. - Singapore :Springer Singapore :2019. - viii, 372 p. :ill., digital ;24 cm. - Green energy and technology,1865-3529. - Green energy and technology..

Emulation of Wind Turbine for Standalone Wind Energy Conversion Systems -- The ripple correlation optimal point determination in a medium power wind conversion system and performance evaluation with respect to conventional algorithms -- Direct Power Control of DFIG Using Sliding Mode Control Approach -- Photovoltaic power prediction using recurrent neural network -- Control of Wind Turbine based on PMSG using Pitch Angle Control -- Feedback T-S fuzzy controller in finite frequency for wind turbine -- Control of Power of a DFIG Generator with MPPT Technique for Wind Turbines Variable Speed -- A Comparative study between PI and sliding mode control for the DFIG of a wind turbine -- A comprehensive Comparison of two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems -- Modeling and performance analysis of a solar PV power system connected to a three phase load under irradiation and load variations -- Intelligent Load Frequency Control in Presence of Wind Power Generation -- ZedBoard-FPGA Control of the DFIG based Wind Power System -- An FPGA-based control of the PMSG on Variable Wind Speed Turbine -- Modeling and Comparison of Boost Converter With Cascaded Boost Converters -- Fault Tolerant Control of Switch Power Converter In WECS Based on a DFIG -- SSDI-Max control and its applications in renewable -- Nonlinear Control of variable speed Wind Energy Conversion System based PMSG.

Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or "models". "Identification" provides mechanisms to establish the models and "control" provides mechanisms to improve system performances. This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.

ISBN: 9789811319457

Standard No.: 10.1007/978-981-13-1945-7doiSubjects--Topical Terms:

2147566
Renewable energy sources
--Research.

LC Class. No.: TJ808.6 / .M634 2019

Dewey Class. No.: 621.042

Modeling, identification and control methods in renewable energy systems
LDR:03758nmm a2200337 a 4500 001 2178611
003 DE-He213
005 20190702134159.0
006 m d
007 cr nn 008maaau
008 191122s2019 si s 0 eng d
020 $a 9789811319457 $q (electronic bk.)
020 $a 9789811319440 $q (paper)
024 7 $a 10.1007/978-981-13-1945-7 $2 doi
035 $a 978-981-13-1945-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ808.6 $b .M634 2019
072 7 $a THX $2 bicssc
072 7 $a SCI024000 $2 bisacsh
072 7 $a THV $2 thema
082 0 4 $a 621.042 $2 23
090 $a TJ808.6 $b .M689 2019
245 0 0 $a Modeling, identification and control methods in renewable energy systems $h [electronic resource] / $c edited by Nabil Derbel, Quanmin Zhu.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a viii, 372 p. : $b ill., digital ; $c 24 cm.
490 1 $a Green energy and technology, $x 1865-3529
505 0 $a Emulation of Wind Turbine for Standalone Wind Energy Conversion Systems -- The ripple correlation optimal point determination in a medium power wind conversion system and performance evaluation with respect to conventional algorithms -- Direct Power Control of DFIG Using Sliding Mode Control Approach -- Photovoltaic power prediction using recurrent neural network -- Control of Wind Turbine based on PMSG using Pitch Angle Control -- Feedback T-S fuzzy controller in finite frequency for wind turbine -- Control of Power of a DFIG Generator with MPPT Technique for Wind Turbines Variable Speed -- A Comparative study between PI and sliding mode control for the DFIG of a wind turbine -- A comprehensive Comparison of two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems -- Modeling and performance analysis of a solar PV power system connected to a three phase load under irradiation and load variations -- Intelligent Load Frequency Control in Presence of Wind Power Generation -- ZedBoard-FPGA Control of the DFIG based Wind Power System -- An FPGA-based control of the PMSG on Variable Wind Speed Turbine -- Modeling and Comparison of Boost Converter With Cascaded Boost Converters -- Fault Tolerant Control of Switch Power Converter In WECS Based on a DFIG -- SSDI-Max control and its applications in renewable -- Nonlinear Control of variable speed Wind Energy Conversion System based PMSG.
520 $a Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or "models". "Identification" provides mechanisms to establish the models and "control" provides mechanisms to improve system performances. This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.
650 0 $a Renewable energy sources $x Research. $3 2147566
650 0 $a Energy development. $3 666240
650 0 $a Control theory. $3 535880
650 0 $a Clean energy. $3 2145515
650 1 4 $a Renewable and Green Energy. $3 928108
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Control and Systems Theory. $3 3381515
700 1 $a Derbel, Nabil. $3 3217747
700 1 $a Zhu, Quanmin. $3 2131886
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Green energy and technology. $3 1566020
856 4 0 $u https://doi.org/10.1007/978-981-13-1945-7
950 $a Energy (Springer-40367)