Investigating Wind Generation Investment Indices in Multi-Stage Planning

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

Investigating Wind Generation Investment Indices in Multi-Stage Planning

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

Research output: Contribution to conference › Paper › peer-review

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Abstract

This paper presents a Multi-stage stochastic bilevel 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
Publication status	Published - 26 Sept 2018
Event	5th International Symposium on Environment Friendly Energies and Applications - Rome, Italy Duration: 24 Sept 2018 → 26 Sept 2018 Conference number: 5 http://soe.northumbria.ac.uk/efea2018/index.html

Conference

Conference	5th International Symposium on Environment Friendly Energies and Applications
Abbreviated title	EFEA 2018
Country/Territory	Italy
City	Rome
Period	24/09/18 → 26/09/18
Internet address	http://soe.northumbria.ac.uk/efea2018/index.html

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1 Conference contribution

Investigating wind generation investment indices in multi-stage planning
Valinejad, J., Marzband, M., Busawon, K., Kyyra, J. & Pouresmaeil, E., 2 Jul 2018, Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. Bruzzese, C., Santini, E. & Di Gennaro, S. (eds.). IEEE, 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

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Cite this

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title = "Investigating Wind Generation Investment Indices in Multi-Stage Planning",

abstract = "This paper presents a Multi-stage stochastic bilevel 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.",

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

year = "2018",

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day = "26",

language = "English",

note = "5th International Symposium on Environment Friendly Energies and Applications, EFEA 2018 ; Conference date: 24-09-2018 Through 26-09-2018",

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TY - CONF

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 - 2018/9/26

Y1 - 2018/9/26

N2 - This paper presents a Multi-stage stochastic bilevel 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 bilevel 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.

M3 - Paper

T2 - 5th 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

Abstract

Conference

UN SDGs

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Research output

Investigating wind generation investment indices in multi-stage planning

Cite this