Dipankar Deb

Harsh S. Dhiman

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 the USA 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.

Decision and Control in Hybrid Wind Farms

Jason Burkholder

Gang Tao

This book provides a basic understanding of adaptive control and its applications in Flight control. It discusses the designing of an adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It also discusses control methodologies and the application of control techniques which will help practicing flight control and active flow control researchers. It also covers modelling and control designs which will also benefit researchers from the background of fluid mechanics and health management of actuation systems. The unique feature of this book is characterization of synthetic jet actuator nonlinearities over a wide range of angles of attack, an adaptive compensation scheme for such nonlinearities, and a systematic framework for feedback control of aircraft dynamics with synthetic jet actuators.

Adaptive Compensation of Nonlinear Actuators for Flight Control Applications

Rajeeb Dey

Valentina E. Balas

The book covers innovative research and its applications in infrastructure development and related areas. This book discusses the state-of-art development, challenges and unsolved problems in the field of infrastructure/smart development, control engineering, power system infrastructure, smart infrastructure, waste management and renewable energy. The solutions discussed in this book encourage the researchers and IT professionals to put the methods into their practice.

Proceedings of ICIIF 2018

Innovations in Infrastructure

Laltu Chandra

Ambesh Dixit

This book gathers selected papers presented at the First International Conference on Renewable Energy and Climate Change (REC 2019), which was held at the Institute of Infrastructure Technology Research and Management (IITRAM) from 1 to 2 February 2019. The topics covered include renewable (green) energy and sources including wind power, hydropower, solar energy, biomass, biofuel, geothermal energy, wave energy, tidal energy, hydrogen & fuel cells, energy storage, new trends and technologies for renewable energies, policies and strategies for renewable energies, smart grids, batteries, and e-mobility, control techniques for renewable energies, hybrid renewable energies, renewable energy research and applications for industries, applications of renewable energies in electrical vehicles and other allied areas, artificial intelligence and machine learning studies for renewable energies, renewable energy systems in smart cities, climate change mitigation, carbon trading, carbon capture and utilization, and carbon dioxide refrigeration systems.

Dipankar Deb

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