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Solar photovoltaic power plants = ad...

Precup, Radu-Emil.

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Solar photovoltaic power plants = advanced control and optimization techniques /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Solar photovoltaic power plants/ edited by Radu-Emil Precup, Tariq Kamal, Syed Zulqadar Hassan.
其他題名:	advanced control and optimization techniques /
其他作者:	Precup, Radu-Emil.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xvii, 250 p. :ill. (some col.), digital ;24 cm.
內容註:	Adaptive Control Techniques for Three-Phase Grid-Connected Photovoltaic Inverters -- Application of sliding-mode control for maximum power point tracking of PV systems -- Predictive Control of Four-Leg Converters for Photovoltaic Energy Systems -- A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson -- Study on control of hybrid photovoltaic-wind power system using Xilinx System Generator -- Artiﬁcial Intelligence for Photovoltaic Systems -- Applications of Improved Versions of Fuzzy Logic Based Maximum Power Point Tracking for Controlling Photovoltaic Systems -- A New Method For Generating Short-Term Power Forecasting Based On Artiﬁcial Neural Networks And Optimization Methods For Solar Photovoltaic Power Plants -- Evaluation on Training Algorithms of Back Propagation Neural Network for a Solar Photovoltaic based DSTATCOM System -- Power Extraction from PV Module using Hybrid ANFIS Controller -- An Online Self Recurrent Direct Adaptive Nero-fuzzy Wavelet based Control of Photovoltaic Systems.
Contained By:	Springer eBooks
標題:	Photovoltaic power generation. -
電子資源:	https://doi.org/10.1007/978-981-13-6151-7
ISBN:	9789811361517

Solar photovoltaic power plants = advanced control and optimization techniques /
Solar photovoltaic power plantsadvanced control and optimization techniques /[electronic resource] :edited by Radu-Emil Precup, Tariq Kamal, Syed Zulqadar Hassan. - Singapore :Springer Singapore :2019. - xvii, 250 p. :ill. (some col.), digital ;24 cm. - Power systems,1612-1287. - Power systems..

Adaptive Control Techniques for Three-Phase Grid-Connected Photovoltaic Inverters -- Application of sliding-mode control for maximum power point tracking of PV systems -- Predictive Control of Four-Leg Converters for Photovoltaic Energy Systems -- A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson -- Study on control of hybrid photovoltaic-wind power system using Xilinx System Generator -- Artiﬁcial Intelligence for Photovoltaic Systems -- Applications of Improved Versions of Fuzzy Logic Based Maximum Power Point Tracking for Controlling Photovoltaic Systems -- A New Method For Generating Short-Term Power Forecasting Based On Artiﬁcial Neural Networks And Optimization Methods For Solar Photovoltaic Power Plants -- Evaluation on Training Algorithms of Back Propagation Neural Network for a Solar Photovoltaic based DSTATCOM System -- Power Extraction from PV Module using Hybrid ANFIS Controller -- An Online Self Recurrent Direct Adaptive Nero-fuzzy Wavelet based Control of Photovoltaic Systems.

This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated. .

ISBN: 9789811361517

Standard No.: 10.1007/978-981-13-6151-7doiSubjects--Topical Terms:

675310
Photovoltaic power generation.

LC Class. No.: TK1087 / .S653 2019

Dewey Class. No.: 621.31244

Solar photovoltaic power plants = advanced control and optimization techniques /
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520 $a This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated. .
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