Bi-level model for generation expansion planning with contract pricing of renewable energy in the presence of energy storage

Seyed Arash Rafiei, Behnam Mohammadi-Ivatloo, Somayeh Asadi, Saeedreza Goldani, Hamid Falaghi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This study presents a bi-level model for expansion planning of generation systems. The proposed model endogenously determines the incentive to invest (guaranteed purchase contract) for wind and storage units. In the upper level of the proposed model, wind turbines and compressed air storage systems focus on maximising their profits by presenting a strategic offering, while at the lower level, there is an independent system operator with the purpose of increasing social welfare run the market clearing equations. In solving the bi-level model, the Karush–Kuhn–Tucker conditions are used to develop the mathematical program with equilibrium constraints. The problem was first linearised and then solved by GAMS software. The outputs of this problem are the installation time and capacity of the wind and storage units and the price of the purchase contract. The obtained results were compared with other existing studies for verification purposes.

Original languageEnglish (US)
Pages (from-to)1544-1553
Number of pages10
JournalIET Renewable Power Generation
Volume13
Issue number9
DOIs
StatePublished - Jul 8 2019

Fingerprint

Energy storage
Planning
Costs
Compressed air
Wind turbines
Profitability

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

Cite this

Rafiei, Seyed Arash ; Mohammadi-Ivatloo, Behnam ; Asadi, Somayeh ; Goldani, Saeedreza ; Falaghi, Hamid. / Bi-level model for generation expansion planning with contract pricing of renewable energy in the presence of energy storage. In: IET Renewable Power Generation. 2019 ; Vol. 13, No. 9. pp. 1544-1553.
@article{e7d7dec9f6d64867972bef2358d4e245,
title = "Bi-level model for generation expansion planning with contract pricing of renewable energy in the presence of energy storage",
abstract = "This study presents a bi-level model for expansion planning of generation systems. The proposed model endogenously determines the incentive to invest (guaranteed purchase contract) for wind and storage units. In the upper level of the proposed model, wind turbines and compressed air storage systems focus on maximising their profits by presenting a strategic offering, while at the lower level, there is an independent system operator with the purpose of increasing social welfare run the market clearing equations. In solving the bi-level model, the Karush–Kuhn–Tucker conditions are used to develop the mathematical program with equilibrium constraints. The problem was first linearised and then solved by GAMS software. The outputs of this problem are the installation time and capacity of the wind and storage units and the price of the purchase contract. The obtained results were compared with other existing studies for verification purposes.",
author = "Rafiei, {Seyed Arash} and Behnam Mohammadi-Ivatloo and Somayeh Asadi and Saeedreza Goldani and Hamid Falaghi",
year = "2019",
month = "7",
day = "8",
doi = "10.1049/iet-rpg.2019.0074",
language = "English (US)",
volume = "13",
pages = "1544--1553",
journal = "IET Renewable Power Generation",
issn = "1752-1416",
publisher = "Institution of Engineering and Technology",
number = "9",

}

Bi-level model for generation expansion planning with contract pricing of renewable energy in the presence of energy storage. / Rafiei, Seyed Arash; Mohammadi-Ivatloo, Behnam; Asadi, Somayeh; Goldani, Saeedreza; Falaghi, Hamid.

In: IET Renewable Power Generation, Vol. 13, No. 9, 08.07.2019, p. 1544-1553.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Bi-level model for generation expansion planning with contract pricing of renewable energy in the presence of energy storage

AU - Rafiei, Seyed Arash

AU - Mohammadi-Ivatloo, Behnam

AU - Asadi, Somayeh

AU - Goldani, Saeedreza

AU - Falaghi, Hamid

PY - 2019/7/8

Y1 - 2019/7/8

N2 - This study presents a bi-level model for expansion planning of generation systems. The proposed model endogenously determines the incentive to invest (guaranteed purchase contract) for wind and storage units. In the upper level of the proposed model, wind turbines and compressed air storage systems focus on maximising their profits by presenting a strategic offering, while at the lower level, there is an independent system operator with the purpose of increasing social welfare run the market clearing equations. In solving the bi-level model, the Karush–Kuhn–Tucker conditions are used to develop the mathematical program with equilibrium constraints. The problem was first linearised and then solved by GAMS software. The outputs of this problem are the installation time and capacity of the wind and storage units and the price of the purchase contract. The obtained results were compared with other existing studies for verification purposes.

AB - This study presents a bi-level model for expansion planning of generation systems. The proposed model endogenously determines the incentive to invest (guaranteed purchase contract) for wind and storage units. In the upper level of the proposed model, wind turbines and compressed air storage systems focus on maximising their profits by presenting a strategic offering, while at the lower level, there is an independent system operator with the purpose of increasing social welfare run the market clearing equations. In solving the bi-level model, the Karush–Kuhn–Tucker conditions are used to develop the mathematical program with equilibrium constraints. The problem was first linearised and then solved by GAMS software. The outputs of this problem are the installation time and capacity of the wind and storage units and the price of the purchase contract. The obtained results were compared with other existing studies for verification purposes.

UR - http://www.scopus.com/inward/record.url?scp=85067697757&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067697757&partnerID=8YFLogxK

U2 - 10.1049/iet-rpg.2019.0074

DO - 10.1049/iet-rpg.2019.0074

M3 - Article

AN - SCOPUS:85067697757

VL - 13

SP - 1544

EP - 1553

JO - IET Renewable Power Generation

JF - IET Renewable Power Generation

SN - 1752-1416

IS - 9

ER -