Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning

Jaber  Valinejad; Mousa Marzband; Taghi  Barforoshi; Jorma Kyyrä; Edris Pouresmaeil

doi:10.1109/EFEA.2018.8617107

Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning

Jaber Valinejad, Mousa Marzband, Taghi Barforoshi, Jorma Kyyrä, Edris Pouresmaeil

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

6 Citations (Scopus)

165 Downloads (Pure)

Abstract

This paper aims to presents dynamic stochastic an equilibrium problem with equilibrium constraints (DSEPEC) model to invistigate the generation capacity expansion at a certain time horizon and the presence of dominant producers. The DSEPEC model is proposed while there is an uncertainty in the predicted demand, and it is modeled based on discrete Markov model. Each dominant producer is modeled by a bi-level optimization problem so that the first level and the second level provide models for the investment and operation decisions, respectively. The supply function equilibrium (SFE) is used for short-term electricity market. Then, each bi-level model is convert to dynamic stochastic mathemathical problem with equilibrium constraints (DSMPEC). To convert DSEPEC to an auxiliary MILP problem, Karush-Kuhn-Tucker (KKT) conditions as well as primal-dual transformation. A sample two-buses power network is employed for simulation and necessary analysis to confirm the efficiency of the proposed framework.

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	5
ISBN (Electronic)	9781538655177
DOIs	https://doi.org/10.1109/EFEA.2018.8617107
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

Generation exansion
EPEC
MPEC
Multistage planning
Dynamic strochastic model

UN SDGs

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

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10.1109/EFEA.2018.8617107

ELEC_Valinejad_etal_Dynamic-Stochastic-EPEC-Model_EFEA2018_acceptedauthormanuscriptAccepted author manuscript, 4.05 MB

Cite this

Valinejad, J., Marzband, M., Barforoshi, T., Kyyrä, J., & Pouresmaeil, E. (2019). Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion 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 8617107 IEEE. https://doi.org/10.1109/EFEA.2018.8617107

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title = "Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning",

abstract = "This paper aims to presents dynamic stochastic an equilibrium problem with equilibrium constraints (DSEPEC) model to invistigate the generation capacity expansion at a certain time horizon and the presence of dominant producers. The DSEPEC model is proposed while there is an uncertainty in the predicted demand, and it is modeled based on discrete Markov model. Each dominant producer is modeled by a bi-level optimization problem so that the first level and the second level provide models for the investment and operation decisions, respectively. The supply function equilibrium (SFE) is used for short-term electricity market. Then, each bi-level model is convert to dynamic stochastic mathemathical problem with equilibrium constraints (DSMPEC). To convert DSEPEC to an auxiliary MILP problem, Karush-Kuhn-Tucker (KKT) conditions as well as primal-dual transformation. A sample two-buses power network is employed for simulation and necessary analysis to confirm the efficiency of the proposed framework.",

keywords = "Generation exansion, EPEC, MPEC, Multistage planning, Dynamic strochastic model",

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

year = "2019",

month = jan,

day = "16",

doi = "10.1109/EFEA.2018.8617107",

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, Barforoshi, T, Kyyrä, J & Pouresmaeil, E 2019, Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning. in E Santini, S Di Gennaro & C Bruzzese (eds), Proceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018., 8617107, IEEE, International Symposium on Environment-Friendly Energies and Applications , Rome, Italy, 24/09/2018. https://doi.org/10.1109/EFEA.2018.8617107

Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning. / Valinejad, Jaber ; Marzband, Mousa; Barforoshi, Taghi 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. 8617107.

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

TY - GEN

T1 - Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning

AU - Valinejad, Jaber

AU - Marzband, Mousa

AU - Barforoshi, Taghi

AU - Kyyrä, Jorma

AU - Pouresmaeil, Edris

N1 - Conference code: 5

PY - 2019/1/16

Y1 - 2019/1/16

N2 - This paper aims to presents dynamic stochastic an equilibrium problem with equilibrium constraints (DSEPEC) model to invistigate the generation capacity expansion at a certain time horizon and the presence of dominant producers. The DSEPEC model is proposed while there is an uncertainty in the predicted demand, and it is modeled based on discrete Markov model. Each dominant producer is modeled by a bi-level optimization problem so that the first level and the second level provide models for the investment and operation decisions, respectively. The supply function equilibrium (SFE) is used for short-term electricity market. Then, each bi-level model is convert to dynamic stochastic mathemathical problem with equilibrium constraints (DSMPEC). To convert DSEPEC to an auxiliary MILP problem, Karush-Kuhn-Tucker (KKT) conditions as well as primal-dual transformation. A sample two-buses power network is employed for simulation and necessary analysis to confirm the efficiency of the proposed framework.

AB - This paper aims to presents dynamic stochastic an equilibrium problem with equilibrium constraints (DSEPEC) model to invistigate the generation capacity expansion at a certain time horizon and the presence of dominant producers. The DSEPEC model is proposed while there is an uncertainty in the predicted demand, and it is modeled based on discrete Markov model. Each dominant producer is modeled by a bi-level optimization problem so that the first level and the second level provide models for the investment and operation decisions, respectively. The supply function equilibrium (SFE) is used for short-term electricity market. Then, each bi-level model is convert to dynamic stochastic mathemathical problem with equilibrium constraints (DSMPEC). To convert DSEPEC to an auxiliary MILP problem, Karush-Kuhn-Tucker (KKT) conditions as well as primal-dual transformation. A sample two-buses power network is employed for simulation and necessary analysis to confirm the efficiency of the proposed framework.

KW - Generation exansion

KW - EPEC

KW - MPEC

KW - Multistage planning

KW - Dynamic strochastic model

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DO - 10.1109/EFEA.2018.8617107

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 -

Valinejad J, Marzband M, Barforoshi T, Kyyrä J , Pouresmaeil E. Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning. In Santini E, Di Gennaro S, Bruzzese C, editors, Proceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. IEEE. 2019. 8617107 doi: 10.1109/EFEA.2018.8617107

Dynamic Stochastic EPEC Model for Competition of Dominant Producers in Generation Expansion Planning

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Keywords

UN SDGs

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