Investigating wind generation investment indices in multi-stage planning

Jaber Valinejad; Mousa Marzband; Krishna Busawon; Jorma Kyyra; Edris Pouresmaeil

doi:10.1109/EFEA.2018.8617106

Investigating wind generation investment indices in multi-stage planning

Jaber Valinejad, Mousa Marzband, Krishna Busawon, Jorma Kyyra, Edris Pouresmaeil

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

5 Citations (Scopus)

Abstract

This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.

Original language	English
Title of host publication	Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
Editors	Claudio Bruzzese, Ezio Santini, Stefano Di Gennaro
Publisher	IEEE
ISBN (Electronic)	9781538655177
DOIs	https://doi.org/10.1109/EFEA.2018.8617106
Publication status	Published - 2 Jul 2018
Event	5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 - Rome, Italy Duration: 24 Sept 2018 → 26 Sept 2018

Publication series

Name	Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

Conference

Conference	5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
Country/Territory	Italy
City	Rome
Period	24/09/18 → 26/09/18

Keywords

Capacity investment
Dynamic planning
Power market
Stochastic approach
Wind

UN SDGs

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

Access to Document

10.1109/EFEA.2018.8617106

Cite this

Valinejad, J., Marzband, M., Busawon, K., Kyyra, J., & Pouresmaeil, E. (2018). Investigating wind generation investment indices in multi-stage planning. In C. Bruzzese, E. Santini, & S. Di Gennaro (Eds.), Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 Article 8617106 (Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018). IEEE. https://doi.org/10.1109/EFEA.2018.8617106

Valinejad, Jaber ; Marzband, Mousa ; Busawon, Krishna et al. / Investigating wind generation investment indices in multi-stage planning. Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. editor / Claudio Bruzzese ; Ezio Santini ; Stefano Di Gennaro. IEEE, 2018. (Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018).

@inproceedings{31835ac825de474597ef9b4f67b75148,

title = "Investigating wind generation investment indices in multi-stage planning",

abstract = "This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.",

keywords = "Capacity investment, Dynamic planning, Power market, Stochastic approach, Wind",

author = "Jaber Valinejad and Mousa Marzband and Krishna Busawon and Jorma Kyyra and Edris Pouresmaeil",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 ; Conference date: 24-09-2018 Through 26-09-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/EFEA.2018.8617106",

language = "English",

series = "Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018",

publisher = "IEEE",

editor = "Claudio Bruzzese and Ezio Santini and {Di Gennaro}, Stefano",

booktitle = "Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018",

address = "United States",

}

Valinejad, J, Marzband, M, Busawon, K, Kyyra, J & Pouresmaeil, E 2018, Investigating wind generation investment indices in multi-stage planning. in C Bruzzese, E Santini & S Di Gennaro (eds), Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018., 8617106, Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018, IEEE, 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018, Rome, Italy, 24/09/18. https://doi.org/10.1109/EFEA.2018.8617106

Investigating wind generation investment indices in multi-stage planning. / Valinejad, Jaber; Marzband, Mousa; Busawon, Krishna et al.
Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. ed. / Claudio Bruzzese; Ezio Santini; Stefano Di Gennaro. IEEE, 2018. 8617106 (Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018).

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

TY - GEN

T1 - Investigating wind generation investment indices in multi-stage planning

AU - Valinejad, Jaber

AU - Marzband, Mousa

AU - Busawon, Krishna

AU - Kyyra, Jorma

AU - Pouresmaeil, Edris

PY - 2018/7/2

Y1 - 2018/7/2

N2 - This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.

AB - This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.

KW - Capacity investment

KW - Dynamic planning

KW - Power market

KW - Stochastic approach

KW - Wind

UR - http://www.scopus.com/inward/record.url?scp=85055133188&partnerID=8YFLogxK

U2 - 10.1109/EFEA.2018.8617106

DO - 10.1109/EFEA.2018.8617106

M3 - Conference contribution

AN - SCOPUS:85055133188

T3 - Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

BT - Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

A2 - Bruzzese, Claudio

A2 - Santini, Ezio

A2 - Di Gennaro, Stefano

PB - IEEE

T2 - 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

Y2 - 24 September 2018 through 26 September 2018

ER -

Valinejad J, Marzband M, Busawon K, Kyyra J, Pouresmaeil E. Investigating wind generation investment indices in multi-stage planning. In Bruzzese C, Santini E, Di Gennaro S, editors, Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. IEEE. 2018. 8617106. (Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018). doi: 10.1109/EFEA.2018.8617106

Investigating wind generation investment indices in multi-stage planning

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Investigating Wind Generation Investment Indices in Multi-Stage Planning

Cite this