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Rare Earth Oxides Based Composites for High Voltage Supercapacitors Applications: A Short Review Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Wind Farm Layout Optimization Using Teaching Learning Based Optimization Technique Considering Power and Cost

Authors : Yash D. Modi, Jaydeep Patel, Garlapati Nagababu, Hardik K. Jani

Published in: Renewable Energy and Climate Change

Publisher: Springer Singapore

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Abstract

Wind farm layout optimization has become one of the deciding approaches to increase power output and decrease total cost of a wind farm. In recent year, for capturing maximum energy from wind turbines, wind farmers are installing the wind turbines having bigger rotors and highly efficient turbine components. Even though they are unable to get the achievable output from the wind farm due to wake effect. The heart of our research study is to analyse and optimize the wind farm layout problem. The focus of wind farm layout optimization problem is to find the best placement of wind turbine in the area of wind farm such a way that there is no wake or minimal wake condition of downstream turbine. For that purpose study of wake, model is more important and find out the best optimal solution of placement of wind turbine. Teaching learning based optimization method is used for optimizing the positioning of wind turbines. It is considered that wind is coming from 36 rotational directions with 10° increment from 0 to 360° and velocity is uniform throughout 12 m/s.

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Metadata
Title
Wind Farm Layout Optimization Using Teaching Learning Based Optimization Technique Considering Power and Cost
Authors
Yash D. Modi
Jaydeep Patel
Garlapati Nagababu
Hardik K. Jani
Copyright Year
2020
Publisher
Springer Singapore
Book
Renewable Energy and Climate Change

Print ISBN: 978-981-329-577-3

Electronic ISBN: 978-981-329-578-0

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-32-9578-0_2

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