Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony

H. Shayeghi, M. Moradzadeh, Y. Hashemi, M. Saif, L. Vandevelde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.

LanguageEnglish
Title of host publicationProceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
PublisherIEEE Computer Society
Number of pages5
Volume2016-January
ISBN (Electronic)9781467381321
DOIs
Publication statusPublished - 12 Jan 2016
Externally publishedYes
EventIEEE PES Asia-Pacific Power and Energy Engineering Conference - Brisbane, Australia
Duration: 15 Nov 201518 Nov 2015
Conference number: 10

Conference

ConferenceIEEE PES Asia-Pacific Power and Energy Engineering Conference
Abbreviated titleAPPEEC 2015
CountryAustralia
CityBrisbane
Period15/11/1518/11/15

Fingerprint

Multiobjective optimization
Hybrid systems
Profitability
Decision making
Irradiation
Economics
Costs
Optimal design

Cite this

Shayeghi, H., Moradzadeh, M., Hashemi, Y., Saif, M., & Vandevelde, L. (2016). Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony. In Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015 (Vol. 2016-January). [7381057] IEEE Computer Society. https://doi.org/10.1109/APPEEC.2015.7381057
Shayeghi, H. ; Moradzadeh, M. ; Hashemi, Y. ; Saif, M. ; Vandevelde, L. / Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony. Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015. Vol. 2016-January IEEE Computer Society, 2016.
@inproceedings{ee4581edf11b43f8b282477ed0f5d710,
title = "Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony",
abstract = "This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.",
author = "H. Shayeghi and M. Moradzadeh and Y. Hashemi and M. Saif and L. Vandevelde",
note = "No full text in Eprints. HN 26/10/2017",
year = "2016",
month = "1",
day = "12",
doi = "10.1109/APPEEC.2015.7381057",
language = "English",
volume = "2016-January",
booktitle = "Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015",
publisher = "IEEE Computer Society",
address = "United States",

}

Shayeghi, H, Moradzadeh, M, Hashemi, Y, Saif, M & Vandevelde, L 2016, Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony. in Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015. vol. 2016-January, 7381057, IEEE Computer Society, IEEE PES Asia-Pacific Power and Energy Engineering Conference, Brisbane, Australia, 15/11/15. https://doi.org/10.1109/APPEEC.2015.7381057

Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony. / Shayeghi, H.; Moradzadeh, M.; Hashemi, Y.; Saif, M.; Vandevelde, L.

Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015. Vol. 2016-January IEEE Computer Society, 2016. 7381057.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony

AU - Shayeghi, H.

AU - Moradzadeh, M.

AU - Hashemi, Y.

AU - Saif, M.

AU - Vandevelde, L.

N1 - No full text in Eprints. HN 26/10/2017

PY - 2016/1/12

Y1 - 2016/1/12

N2 - This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.

AB - This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.

UR - http://www.scopus.com/inward/record.url?scp=84965062508&partnerID=8YFLogxK

U2 - 10.1109/APPEEC.2015.7381057

DO - 10.1109/APPEEC.2015.7381057

M3 - Conference contribution

VL - 2016-January

BT - Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015

PB - IEEE Computer Society

ER -

Shayeghi H, Moradzadeh M, Hashemi Y, Saif M, Vandevelde L. Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony. In Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015. Vol. 2016-January. IEEE Computer Society. 2016. 7381057 https://doi.org/10.1109/APPEEC.2015.7381057