Optimal number of wind turbine in farm layout with power maximization

Vikash Kumar Saini; Bharat Singh; Dinesh Kumar Mahto; Akhilesh Mathur; Rajesh Kumar

doi:10.1109/PEDES49360.2020.9379401

Optimal number of wind turbine in farm layout with power maximization

Vikash Kumar Saini
, Bharat Singh
, Dinesh Kumar Mahto
, Akhilesh Mathur
, Rajesh Kumar

Malaviya National Institute of Technology

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

1 Citation (Scopus)

Abstract

Designing of wind farm layout is complex and challenging task due to its space and cost associated constraints. Usually, turbines are positioned in close proximity. Thus, the generated power of downstream turbine is affected by the wake effect produced by upstream turbine. This is challenge to power system planning and reliability forecasting. Therefore, it is a non linear constraint optimization problem. Thus, in this paper, differential evolution strategy is used to find optimal positioning and number of wind turbine for maximization of power generation incorporating wake effect. Strategy implemented have two characteristics: (a) dimension is reduced to two (b) population size parameter is eliminated. Results provide the optimal number of wind turbine in farm layout with maximization of power output.

Original language	English
Title of host publication	9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728156729
DOIs	https://doi.org/10.1109/PEDES49360.2020.9379401
Publication status	Published - 16 Dec 2020
Externally published	Yes
Event	9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020 - Jaipur, India Duration: 16 Dec 2020 → 19 Dec 2020

Publication series

Name	9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020

Conference

Conference	9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020
Country/Territory	India
City	Jaipur
Period	16/12/20 → 19/12/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Differential evolution
Wake effect
Wind farm layout
Wind turbine

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology
Automotive Engineering

Access to Document

10.1109/PEDES49360.2020.9379401

Cite this

Saini, V. K., Singh, B., Mahto, D. K., Mathur, A., & Kumar, R. (2020). Optimal number of wind turbine in farm layout with power maximization. In 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020 Article 9379401 (9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDES49360.2020.9379401

Saini, Vikash Kumar ; Singh, Bharat ; Mahto, Dinesh Kumar et al. / Optimal number of wind turbine in farm layout with power maximization. 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020).

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title = "Optimal number of wind turbine in farm layout with power maximization",

abstract = "Designing of wind farm layout is complex and challenging task due to its space and cost associated constraints. Usually, turbines are positioned in close proximity. Thus, the generated power of downstream turbine is affected by the wake effect produced by upstream turbine. This is challenge to power system planning and reliability forecasting. Therefore, it is a non linear constraint optimization problem. Thus, in this paper, differential evolution strategy is used to find optimal positioning and number of wind turbine for maximization of power generation incorporating wake effect. Strategy implemented have two characteristics: (a) dimension is reduced to two (b) population size parameter is eliminated. Results provide the optimal number of wind turbine in farm layout with maximization of power output.",

keywords = "Differential evolution, Wake effect, Wind farm layout, Wind turbine",

author = "Saini, \{Vikash Kumar\} and Bharat Singh and Mahto, \{Dinesh Kumar\} and Akhilesh Mathur and Rajesh Kumar",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020 ; Conference date: 16-12-2020 Through 19-12-2020",

year = "2020",

month = dec,

day = "16",

doi = "10.1109/PEDES49360.2020.9379401",

language = "English",

series = "9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020",

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Saini, VK, Singh, B, Mahto, DK, Mathur, A & Kumar, R 2020, Optimal number of wind turbine in farm layout with power maximization. in 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020., 9379401, 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020, Institute of Electrical and Electronics Engineers Inc., 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020, Jaipur, India, 16/12/20. https://doi.org/10.1109/PEDES49360.2020.9379401

Optimal number of wind turbine in farm layout with power maximization. / Saini, Vikash Kumar; Singh, Bharat; Mahto, Dinesh Kumar et al.
9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9379401 (9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020).

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

TY - GEN

T1 - Optimal number of wind turbine in farm layout with power maximization

AU - Saini, Vikash Kumar

AU - Singh, Bharat

AU - Mahto, Dinesh Kumar

AU - Mathur, Akhilesh

AU - Kumar, Rajesh

PY - 2020/12/16

Y1 - 2020/12/16

N2 - Designing of wind farm layout is complex and challenging task due to its space and cost associated constraints. Usually, turbines are positioned in close proximity. Thus, the generated power of downstream turbine is affected by the wake effect produced by upstream turbine. This is challenge to power system planning and reliability forecasting. Therefore, it is a non linear constraint optimization problem. Thus, in this paper, differential evolution strategy is used to find optimal positioning and number of wind turbine for maximization of power generation incorporating wake effect. Strategy implemented have two characteristics: (a) dimension is reduced to two (b) population size parameter is eliminated. Results provide the optimal number of wind turbine in farm layout with maximization of power output.

AB - Designing of wind farm layout is complex and challenging task due to its space and cost associated constraints. Usually, turbines are positioned in close proximity. Thus, the generated power of downstream turbine is affected by the wake effect produced by upstream turbine. This is challenge to power system planning and reliability forecasting. Therefore, it is a non linear constraint optimization problem. Thus, in this paper, differential evolution strategy is used to find optimal positioning and number of wind turbine for maximization of power generation incorporating wake effect. Strategy implemented have two characteristics: (a) dimension is reduced to two (b) population size parameter is eliminated. Results provide the optimal number of wind turbine in farm layout with maximization of power output.

KW - Differential evolution

KW - Wake effect

KW - Wind farm layout

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85103916458

U2 - 10.1109/PEDES49360.2020.9379401

DO - 10.1109/PEDES49360.2020.9379401

M3 - Conference contribution

AN - SCOPUS:85103916458

T3 - 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020

BT - 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020

Y2 - 16 December 2020 through 19 December 2020

ER -

Saini VK, Singh B, Mahto DK, Mathur A, Kumar R. Optimal number of wind turbine in farm layout with power maximization. In 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9379401. (9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020). doi: 10.1109/PEDES49360.2020.9379401

Optimal number of wind turbine in farm layout with power maximization

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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