Modelling and Controlling Hydropower Plants (inbunden)

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Format: Inbunden (Hardback)
Språk: Engelska
Antal sidor: 302
Utgivningsdatum: 2012-06-14
Upplaga: 2012
Förlag: Springer London Ltd
Medarbetare: Mansoor, Sa'ad Petrous / Jones, Dewi Ieuan
Illustrationer: XVIII, 302 p.
Dimensioner: 234 x 155 x 23 mm
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Antal komponenter: 1
Komponenter: 1 Hardback
ISBN: 9781447122906

Modelling and Controlling Hydropower Plants

Name: Modelling and Controlling Hydropower Plants
Price: 2168.00 SEK
Availability: InStock
Author: German Ardul Munoz-Hernandez, Sa'Ad Petrous Mansoor, Dewi Ieuan Jones
ISBN: 9781447122906

av German Ardul Munoz-Hernandez, Sa'Ad Petrous Mansoor, Dewi Ieuan Jones

Inbunden, Engelska, 2012-06-14

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Hydroelectric power stations are a major source of electricity around the world; understanding their dynamics is crucial to achieving good performance. The electrical power generated is normally controlled by individual feedback loops on each unit. The reference input to the power loop is the grid frequency deviation from its set point, thus structuring an external frequency control loop. The book discusses practical and well-documented cases of modelling and controlling hydropower stations, focused on a pumped storage scheme based in Dinorwig, North Wales. These accounts are valuable to specialist control engineers who are working in this industry. In addition, the theoretical treatment of modern and classic controllers will be useful for graduate and final year undergraduate engineering students. This book reviews SISO and MIMO models, which cover the linear and nonlinear characteristics of pumped storage hydroelectric power stations. The most important dynamic features are discussed. The verification of these models by hardware in the loop simulation is described. To show how the performance of a pumped storage hydroelectric power station can be improved, classical and modern controllers are applied to simulated models of Dinorwig power plant, that include PID, Fuzzy approximation, Feed-Forward and Model Based Predictive Control with linear and hybrid prediction models.

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