Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect

Ahmed Rashad; Mohamed H. Hassan; Salah Kamel; Hossein Shahinzadeh

doi:10.1109/ICREDG54199.2022.9804579

Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect

Ahmed Rashad
, Mohamed H. Hassan
, Salah Kamel
, Hossein Shahinzadeh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In the last years, the importance of wind farms layout has appeared on the surface. The simple definition of optimal layout is how to extract the maximum power from the wind at certain area with lower cost. The wind speed in the wind farm site will be affected by the distribution of wind turbines in this site. The lack of optimal distribution of wind turbines will lead to wake effect. This wake effect will reduce the output power of wind farms. From this point, this paper uses Marine Predators Algorithm (MPA) to redistribute the wind turbines of Zafarana Stage-1 Wind Farm (Zafarana-1). The proposed layout based on MPA takes into consideration the parameters of wind turbines which are already used in Zafarana-1. The proposed layout based on MPA is designed to increase the efficiency of Zafarana-1 considering wake effect. The proposed layout based on MPA can enhance the output power of Zafarana-1 at less area than the currently allocated area of Zafarana-1.

Original language	English
Title of host publication	2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665405652
DOIs	https://doi.org/10.1109/ICREDG54199.2022.9804579
State	Published - 2022
Externally published	Yes
Event	9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022 - Mashhad, Iran, Islamic Republic of Duration: 23 Feb 2022 → 24 Feb 2022

Publication series

Name	2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022

Conference

Conference	9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022
Country/Territory	Iran, Islamic Republic of
City	Mashhad
Period	23/02/22 → 24/02/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Marine Predators Algorithm (MPA)
Wake effect
Wind farm layout

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/ICREDG54199.2022.9804579

Cite this

Rashad, A., Hassan, M. H., Kamel, S., & Shahinzadeh, H. (2022). Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect. In 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022 (2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICREDG54199.2022.9804579

Rashad, Ahmed ; Hassan, Mohamed H. ; Kamel, Salah et al. / Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect. 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022).

@inproceedings{dfe4548152ea4f899318e19843af2888,

title = "Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect",

abstract = "In the last years, the importance of wind farms layout has appeared on the surface. The simple definition of optimal layout is how to extract the maximum power from the wind at certain area with lower cost. The wind speed in the wind farm site will be affected by the distribution of wind turbines in this site. The lack of optimal distribution of wind turbines will lead to wake effect. This wake effect will reduce the output power of wind farms. From this point, this paper uses Marine Predators Algorithm (MPA) to redistribute the wind turbines of Zafarana Stage-1 Wind Farm (Zafarana-1). The proposed layout based on MPA takes into consideration the parameters of wind turbines which are already used in Zafarana-1. The proposed layout based on MPA is designed to increase the efficiency of Zafarana-1 considering wake effect. The proposed layout based on MPA can enhance the output power of Zafarana-1 at less area than the currently allocated area of Zafarana-1.",

keywords = "Marine Predators Algorithm (MPA), Wake effect, Wind farm layout",

author = "Ahmed Rashad and Hassan, \{Mohamed H.\} and Salah Kamel and Hossein Shahinzadeh",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022 ; Conference date: 23-02-2022 Through 24-02-2022",

year = "2022",

doi = "10.1109/ICREDG54199.2022.9804579",

language = "English",

series = "2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022",

address = "United States",

}

Rashad, A, Hassan, MH, Kamel, S & Shahinzadeh, H 2022, Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect. in 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022. 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022, Institute of Electrical and Electronics Engineers Inc., 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022, Mashhad, Iran, Islamic Republic of, 23/02/22. https://doi.org/10.1109/ICREDG54199.2022.9804579

Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect. / Rashad, Ahmed; Hassan, Mohamed H.; Kamel, Salah et al.
2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect

AU - Rashad, Ahmed

AU - Hassan, Mohamed H.

AU - Kamel, Salah

AU - Shahinzadeh, Hossein

PY - 2022

Y1 - 2022

N2 - In the last years, the importance of wind farms layout has appeared on the surface. The simple definition of optimal layout is how to extract the maximum power from the wind at certain area with lower cost. The wind speed in the wind farm site will be affected by the distribution of wind turbines in this site. The lack of optimal distribution of wind turbines will lead to wake effect. This wake effect will reduce the output power of wind farms. From this point, this paper uses Marine Predators Algorithm (MPA) to redistribute the wind turbines of Zafarana Stage-1 Wind Farm (Zafarana-1). The proposed layout based on MPA takes into consideration the parameters of wind turbines which are already used in Zafarana-1. The proposed layout based on MPA is designed to increase the efficiency of Zafarana-1 considering wake effect. The proposed layout based on MPA can enhance the output power of Zafarana-1 at less area than the currently allocated area of Zafarana-1.

AB - In the last years, the importance of wind farms layout has appeared on the surface. The simple definition of optimal layout is how to extract the maximum power from the wind at certain area with lower cost. The wind speed in the wind farm site will be affected by the distribution of wind turbines in this site. The lack of optimal distribution of wind turbines will lead to wake effect. This wake effect will reduce the output power of wind farms. From this point, this paper uses Marine Predators Algorithm (MPA) to redistribute the wind turbines of Zafarana Stage-1 Wind Farm (Zafarana-1). The proposed layout based on MPA takes into consideration the parameters of wind turbines which are already used in Zafarana-1. The proposed layout based on MPA is designed to increase the efficiency of Zafarana-1 considering wake effect. The proposed layout based on MPA can enhance the output power of Zafarana-1 at less area than the currently allocated area of Zafarana-1.

KW - Marine Predators Algorithm (MPA)

KW - Wake effect

KW - Wind farm layout

UR - https://www.scopus.com/pages/publications/85134196359

U2 - 10.1109/ICREDG54199.2022.9804579

DO - 10.1109/ICREDG54199.2022.9804579

M3 - Conference contribution

AN - SCOPUS:85134196359

T3 - 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022

BT - 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022

Y2 - 23 February 2022 through 24 February 2022

ER -

Rashad A, Hassan MH, Kamel S, Shahinzadeh H. Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect. In 2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 9th Iranian Conference on Renewable Energy and Distributed Generation, ICREDG 2022). doi: 10.1109/ICREDG54199.2022.9804579

Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this