Investigating Wind Generation Investment Indices in Multi-Stage Planning

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

doi:10.1109/EFEA.2018.8617106

Investigating Wind Generation Investment Indices in Multi-Stage Planning

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

172 Downloads (Pure)

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 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
Editors	Ezio Santini, Stefano Di Gennaro, Claudio Bruzzese
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538655177
DOIs	https://doi.org/10.1109/EFEA.2018.8617106
Publication status	Published - 16 Jan 2019
MoE publication type	A4 Conference publication
Event	International Symposium on Environment-Friendly Energies and Applications - Rome, Italy Duration: 24 Sept 2018 → 26 Sept 2018 Conference number: 5

Conference

Conference	International Symposium on Environment-Friendly Energies and Applications
Abbreviated title	EFEA
Country/Territory	Italy
City	Rome
Period	24/09/2018 → 26/09/2018

Keywords

Capacity investment
Power market
Wind
Dynamic planning
Stochastic approach

UN SDGs

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

Access to Document

10.1109/EFEA.2018.8617106

ELEC_Valinejad_etal_Investigating-Wind-Generation_EFEA2018_acceptedauthormanuscriptAccepted author manuscript, 4.87 MB

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Valinejad, J., Marzband, M., Busawon, K., Kyyrä, J., & Pouresmaeil, E. (2019). Investigating Wind Generation Investment Indices in Multi-Stage Planning. In E. Santini, S. Di Gennaro, & C. Bruzzese (Eds.), Proceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018 Article 8617106 IEEE. https://doi.org/10.1109/EFEA.2018.8617106

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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, Power market, Wind, Dynamic planning, Stochastic approach",

author = "Jaber Valinejad and Mousa Marzband and Krishna Busawon and Jorma Kyyr{\"a} and Edris Pouresmaeil",

year = "2019",

month = jan,

day = "16",

doi = "10.1109/EFEA.2018.8617106",

language = "English",

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

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

publisher = "IEEE",

address = "United States",

note = "International Symposium on Environment-Friendly Energies and Applications , EFEA ; Conference date: 24-09-2018 Through 26-09-2018",

}

Valinejad, J, Marzband, M, Busawon, K, Kyyrä, J & Pouresmaeil, E 2019, Investigating Wind Generation Investment Indices in Multi-Stage Planning. in E Santini, S Di Gennaro & C Bruzzese (eds), Proceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018., 8617106, IEEE, International Symposium on Environment-Friendly Energies and Applications , Rome, Italy, 24/09/2018. 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 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. ed. / Ezio Santini; Stefano Di Gennaro; Claudio Bruzzese. IEEE, 2019. 8617106.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Investigating Wind Generation Investment Indices in Multi-Stage Planning

AU - Valinejad, Jaber

AU - Marzband, Mousa

AU - Busawon, Krishna

AU - Kyyrä, Jorma

AU - Pouresmaeil, Edris

N1 - Conference code: 5

PY - 2019/1/16

Y1 - 2019/1/16

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 - Power market

KW - Wind

KW - Dynamic planning

KW - Stochastic approach

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U2 - 10.1109/EFEA.2018.8617106

DO - 10.1109/EFEA.2018.8617106

M3 - Conference article in proceedings

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

A2 - Santini, Ezio

A2 - Di Gennaro, Stefano

A2 - Bruzzese, Claudio

PB - IEEE

T2 - International Symposium on Environment-Friendly Energies and Applications

Y2 - 24 September 2018 through 26 September 2018

ER -

Investigating Wind Generation Investment Indices in Multi-Stage Planning

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Conference

Keywords

UN SDGs

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