Optimal power and cost on placement of Wind turbines using Firefly Algorithm

Dwiana Hendrawati; Adi Soeprijanto; Mochamad Ashari

doi:10.1109/ICSEEA.2015.7380746

Optimal power and cost on placement of Wind turbines using Firefly Algorithm

Dwiana Hendrawati
, Adi Soeprijanto
, Mochamad Ashari

Semarang State Polytechnic

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

5 Citations (Scopus)

Abstract

This paper proposes a placement technique of wind turbines to optimize the total output power and cost in a wind farm using firefly algorithm. The research considered the wake effect of wind turbines and was run for 3 cases: constant wind speed and constant wind direction, constant wind speed and variable wind direction, variable wind speed and variable wind direction. It focused on finding the best position of each turbine in wind farm to minimize the impact of a turbine on others in term of harnessing the power. The simulation shows that the best position was achieved when 73 turbines are installed in Wind Farm with total power 37,611 kW ( 518.4 kW each) and 2 kilometers square length of area when wind speed 12 m/s and wind direction constant.

Original language	English
Title of host publication	Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application
Subtitle of host publication	Sustainable Energy for Greater Development, ICSEEA 2015
Editors	Midriem Mirdanies, Rakhmad Indra Pramana, Kadek Heri Sanjaya, Hendri Maja Saputra
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	59-64
Number of pages	6
ISBN (Electronic)	9781509001934
DOIs	https://doi.org/10.1109/ICSEEA.2015.7380746
Publication status	Published - 12 Jan 2016
Event	3rd International Conference on Sustainable Energy Engineering and Application, ICSEEA 2015 - Bandung, Indonesia Duration: 5 Oct 2015 → 7 Oct 2015

Publication series

Name	Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015

Conference

Conference	3rd International Conference on Sustainable Energy Engineering and Application, ICSEEA 2015
Country/Territory	Indonesia
City	Bandung
Period	5/10/15 → 7/10/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

cost
firefly algorithm
optimal
power
wind turbine

Access to Document

10.1109/ICSEEA.2015.7380746

Cite this

Hendrawati, D., Soeprijanto, A., & Ashari, M. (2016). Optimal power and cost on placement of Wind turbines using Firefly Algorithm. In M. Mirdanies, R. I. Pramana, K. H. Sanjaya, & H. M. Saputra (Eds.), Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015 (pp. 59-64). Article 7380746 (Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSEEA.2015.7380746

Hendrawati, Dwiana ; Soeprijanto, Adi ; Ashari, Mochamad. / Optimal power and cost on placement of Wind turbines using Firefly Algorithm. Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015. editor / Midriem Mirdanies ; Rakhmad Indra Pramana ; Kadek Heri Sanjaya ; Hendri Maja Saputra. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 59-64 (Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015).

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title = "Optimal power and cost on placement of Wind turbines using Firefly Algorithm",

abstract = "This paper proposes a placement technique of wind turbines to optimize the total output power and cost in a wind farm using firefly algorithm. The research considered the wake effect of wind turbines and was run for 3 cases: constant wind speed and constant wind direction, constant wind speed and variable wind direction, variable wind speed and variable wind direction. It focused on finding the best position of each turbine in wind farm to minimize the impact of a turbine on others in term of harnessing the power. The simulation shows that the best position was achieved when 73 turbines are installed in Wind Farm with total power 37,611 kW ( 518.4 kW each) and 2 kilometers square length of area when wind speed 12 m/s and wind direction constant.",

keywords = "cost, firefly algorithm, optimal, power, wind turbine",

author = "Dwiana Hendrawati and Adi Soeprijanto and Mochamad Ashari",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Conference on Sustainable Energy Engineering and Application, ICSEEA 2015 ; Conference date: 05-10-2015 Through 07-10-2015",

year = "2016",

month = jan,

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doi = "10.1109/ICSEEA.2015.7380746",

language = "English",

series = "Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015",

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

pages = "59--64",

editor = "Midriem Mirdanies and Pramana, \{Rakhmad Indra\} and Sanjaya, \{Kadek Heri\} and Saputra, \{Hendri Maja\}",

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Hendrawati, D, Soeprijanto, A & Ashari, M 2016, Optimal power and cost on placement of Wind turbines using Firefly Algorithm. in M Mirdanies, RI Pramana, KH Sanjaya & HM Saputra (eds), Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015., 7380746, Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 59-64, 3rd International Conference on Sustainable Energy Engineering and Application, ICSEEA 2015, Bandung, Indonesia, 5/10/15. https://doi.org/10.1109/ICSEEA.2015.7380746

Optimal power and cost on placement of Wind turbines using Firefly Algorithm. / Hendrawati, Dwiana; Soeprijanto, Adi ; Ashari, Mochamad.
Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015. ed. / Midriem Mirdanies; Rakhmad Indra Pramana; Kadek Heri Sanjaya; Hendri Maja Saputra. Institute of Electrical and Electronics Engineers Inc., 2016. p. 59-64 7380746 (Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015).

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

TY - GEN

T1 - Optimal power and cost on placement of Wind turbines using Firefly Algorithm

AU - Hendrawati, Dwiana

AU - Soeprijanto, Adi

AU - Ashari, Mochamad

PY - 2016/1/12

Y1 - 2016/1/12

N2 - This paper proposes a placement technique of wind turbines to optimize the total output power and cost in a wind farm using firefly algorithm. The research considered the wake effect of wind turbines and was run for 3 cases: constant wind speed and constant wind direction, constant wind speed and variable wind direction, variable wind speed and variable wind direction. It focused on finding the best position of each turbine in wind farm to minimize the impact of a turbine on others in term of harnessing the power. The simulation shows that the best position was achieved when 73 turbines are installed in Wind Farm with total power 37,611 kW ( 518.4 kW each) and 2 kilometers square length of area when wind speed 12 m/s and wind direction constant.

AB - This paper proposes a placement technique of wind turbines to optimize the total output power and cost in a wind farm using firefly algorithm. The research considered the wake effect of wind turbines and was run for 3 cases: constant wind speed and constant wind direction, constant wind speed and variable wind direction, variable wind speed and variable wind direction. It focused on finding the best position of each turbine in wind farm to minimize the impact of a turbine on others in term of harnessing the power. The simulation shows that the best position was achieved when 73 turbines are installed in Wind Farm with total power 37,611 kW ( 518.4 kW each) and 2 kilometers square length of area when wind speed 12 m/s and wind direction constant.

KW - cost

KW - firefly algorithm

KW - optimal

KW - power

KW - wind turbine

UR - https://www.scopus.com/pages/publications/84964849088

U2 - 10.1109/ICSEEA.2015.7380746

DO - 10.1109/ICSEEA.2015.7380746

M3 - Conference contribution

AN - SCOPUS:84964849088

T3 - Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015

SP - 59

EP - 64

BT - Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application

A2 - Mirdanies, Midriem

A2 - Pramana, Rakhmad Indra

A2 - Sanjaya, Kadek Heri

A2 - Saputra, Hendri Maja

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Sustainable Energy Engineering and Application, ICSEEA 2015

Y2 - 5 October 2015 through 7 October 2015

ER -

Hendrawati D, Soeprijanto A , Ashari M. Optimal power and cost on placement of Wind turbines using Firefly Algorithm. In Mirdanies M, Pramana RI, Sanjaya KH, Saputra HM, editors, Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 59-64. 7380746. (Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015). doi: 10.1109/ICSEEA.2015.7380746

Optimal power and cost on placement of Wind turbines using Firefly Algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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