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Modelling and Controlling Hydropower Plants [electronic resource] /by German Ardul Munoz-Hernandez, Sa'ad Petrous Mansoor, Dewi Ieuan Jones.

by Munoz-Hernandez, German Ardul [author.]; Mansoor, Sa'ad Petrous [author.]; Jones, Dewi Ieuan [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Advances in Industrial Control: Publisher: London : Springer London : 2013.Description: XVII, 299 p. 173 illus., 21 illus. in color. online resource.ISBN: 9781447122913.Subject(s): Physics | Electric engineering | Renewable energy sources | Physics | Control | Optics, Optoelectronics, Plasmonics and Optical Devices | Renewable and Green Energy | Laser Technology, Photonics | Energy Efficiency (incl. Buildings) | Energy TechnologyDDC classification: 629.8 Online resources: Click here to access online
Contents:
Part I: Hydropower Plants -- Hydropower - a Historical Perspective -- Part II: Modelling the Power Plant -- Part III: Controlling the Power Plant.
In: Springer eBooksSummary: Hydroelectric power stations are a major source of electricity around the world; understanding their dynamics is crucial to achieving good performance.  Modelling and Controlling Hydropower Plants discusses practical and well-documented cases of modelling and controlling hydropower station modelling and control, focussing on a pumped storage scheme based in Dinorwig, North Wales.  Single-input-single-output and multiple-input-multiple-output models, which cover the linear and nonlinear characteristics of pump-storage hydroelectric power stations, are reviewed. The most important dynamic features are discussed, and the verification of these models by hardware in the loop simulation is described. To show how the performance of a pump-storage hydroelectric power station can be improved, classical and modern controllers are applied to simulated models of the Dinorwig power plant. These include PID, fuzzy approximation, feed-forward and model-based predictive control with linear and hybrid prediction models. Modelling and Controlling Hydropower Plants will be of value to control engineers working in industry. In addition, the theoretical treatment of modern and classic controllers will be useful for academic researchers and graduate students in control and power engineering. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
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Part I: Hydropower Plants -- Hydropower - a Historical Perspective -- Part II: Modelling the Power Plant -- Part III: Controlling the Power Plant.

Hydroelectric power stations are a major source of electricity around the world; understanding their dynamics is crucial to achieving good performance.  Modelling and Controlling Hydropower Plants discusses practical and well-documented cases of modelling and controlling hydropower station modelling and control, focussing on a pumped storage scheme based in Dinorwig, North Wales.  Single-input-single-output and multiple-input-multiple-output models, which cover the linear and nonlinear characteristics of pump-storage hydroelectric power stations, are reviewed. The most important dynamic features are discussed, and the verification of these models by hardware in the loop simulation is described. To show how the performance of a pump-storage hydroelectric power station can be improved, classical and modern controllers are applied to simulated models of the Dinorwig power plant. These include PID, fuzzy approximation, feed-forward and model-based predictive control with linear and hybrid prediction models. Modelling and Controlling Hydropower Plants will be of value to control engineers working in industry. In addition, the theoretical treatment of modern and classic controllers will be useful for academic researchers and graduate students in control and power engineering. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

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