dhiman harsh (14 Ergebnisse)

XXII, 140 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Systems, Decision and Control, Volume 253. Sprache: Englisch.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Paperback. Zustand: Brand New. 164 pages. 9.25x6.10x0.39 inches. In Stock.

Hardcover. Zustand: Brand New. 164 pages. 9.25x6.10x0.59 inches. In Stock.

Taschenbuch. Zustand: Neu. Decision and Control in Hybrid Wind Farms | Harsh S. Dhiman (u. a.) | Taschenbuch | xxii | Englisch | 2020 | Springer | EAN 9789811502774 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction | Harsh S. Dhiman (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Academic Press | EAN 9780128213537 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid. This decision-making is accompanied by accurate forecasts of wind speed, which must be known beforehand. Errors in wind forecasting can be compensated for by pumping power from a reserve capacity to the grid using a battery energy storage system (BESS). Alternatives based on penalty cost are assessed using certain criteria, and MCDM methods are used to evaluate the best choice. Further, considering the randomness in the dynamic phenomenon in wind farms, a fuzzy MCDM approach is applied during the decision-making process to evaluate the best alternative for hybrid wind farm operation. Case studies from wind farms in theUSA are presented, together with numerical solutions to the problem. In turn, the second part deals with the control aspect, and especially with yaw angle control, which facilitates power maximization at wind farms. A novel transfer function-based methodology is presented that controls the wake center of the upstream turbine(s); lidar-based numerical simulation is carried out for wind farm layouts; and an adaptive control strategy is implemented to achieve the desired yaw angle for upstream turbines. The proposed methodology is tested for two wind farm layouts. Wake management is also implemented for hybrid wind farms where BESS life enhancement is studied. The effect of yaw angle on the operational cost of BESS is assessed, and case studies for wind farm datasets from the USA and Denmark are discussed. Overall, the book provides a comprehensive guide to decision and control aspects for hybrid wind farms, which are particularly important from an industrial standpoint.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid. This decision-making is accompanied by accurate forecasts of wind speed, which must be known beforehand. Errors in wind forecasting can be compensated for by pumping power from a reserve capacity to the grid using a battery energy storage system (BESS). Alternatives based on penalty cost are assessed using certain criteria, and MCDM methods are used to evaluate the best choice. Further, considering the randomness in the dynamic phenomenon in wind farms, a fuzzy MCDM approach is applied during the decision-making process to evaluate the best alternative for hybrid wind farm operation. Case studies from wind farms in theUSA are presented, together with numerical solutions to the problem. In turn, the second part deals with the control aspect, and especially with yaw angle control, which facilitates power maximization at wind farms. A novel transfer function-based methodology is presented that controls the wake center of the upstream turbine(s); lidar-based numerical simulation is carried out for wind farm layouts; and an adaptive control strategy is implemented to achieve the desired yaw angle for upstream turbines. The proposed methodology is tested for two wind farm layouts. Wake management is also implemented for hybrid wind farms where BESS life enhancement is studied. The effect of yaw angle on the operational cost of BESS is assessed, and case studies for wind farm datasets from the USA and Denmark are discussed. Overall, the book provides a comprehensive guide to decision and control aspects for hybrid wind farms, which are particularly important from an industrial standpoint.

Zustand: New.

Hardcover. Zustand: Brand New. 258 pages. 9.21x6.57x0.79 inches. In Stock.

Zustand: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dieses Buch fokussiert auf zwei zentrale Aspekte im Betrieb von Windparks: Entscheidungen und Steuerung. Im ersten Teil werden Entscheidungsprozesse erläutert, bei denen der Betrieb von Hybrid-Windparks von der Auswahl optimaler Alternativen zur Einspeisung von Windenergie ins Netz abhängt. Präzise Windvorhersagen sind entscheidend, um Fehler auszugleichen und mittels eines Batteriespeichersystems Reservekapazitäten ins Netz einzuspeisen. MCDM-Methoden und ein unscharfer Ansatz werden verwendet, um die besten Optionen zu bewerten. Fallstudien aus US-amerikanischen Windparks bieten numerische Lösungen.Im zweiten Teil liegt der Fokus auf der Steuerung, insbesondere der Yaw-Winkel-Steuerung zur Leistungsoptimierung der Turbinen. Eine Transferfunktions-basierte Methode zur Steuerung des Wirbelzentrums wird vorgestellt, begleitet von lidar-basierten Simulationen und adaptiven Steuerungsstrategien für verschiedene Windparklayouts. Die Auswirkungen des Yaw-Winkels auf die Betriebskosten des Batteriespeichersystems werden analysiert, unterstützt durch Fallstudien aus den USA und Dänemark.