Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem

Sajjad Fattaheian-Dehkordi; Mehdi Tavakkoli; Mahmoud Fotuhi-Firuzabad; Ali Abbaspour; Mina Habibi; Matti Lehtonen

doi:10.1109/EEM54602.2022.9921083

Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem

Sajjad Fattaheian-Dehkordi, Mehdi Tavakkoli, Mahmoud Fotuhi-Firuzabad, Ali Abbaspour, Mina Habibi, Matti Lehtonen

Sharif University of Technology

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

2 Citations (Scopus)

Abstract

Introduction of distributed power generation (DPG) units such as renewable generation (RG) units has resulted in changing the operation and planning of distribution grids. In this context, while the RG units could enable the utilities to supply the demand locally, their overpower generation could cause congestion problems in the grid. As a result, while the distribution grids are designed based on the fit-and-forget concept, the efficient planning of responsive DPGs should be employed to ensure relieving the congestion problem in the grid. Respectively, this paper aims to optimally allocate the hydrogen storage systems (HSSs) in the grid to ensure the increasing investment of RG units would not cause congestion problems in the grid. In this regard, the stochastic optimization technique as well as the condition value at risk (CVaR) method are employed to model the uncertainty of power generation by RGs while optimizing the allocation of HSSs in the grid. Based on the above discussions, the proposed optimization model is applied to the IEEE 37 bus system to analyze the impact of HSSs in relieving the congestion problem in the grid which is caused by the increasing integration of RGs.

Original language	English
Title of host publication	18th International Conference on the European Energy Market, EEM 2022
Publisher	IEEE
ISBN (Electronic)	978-1-6654-0896-7
DOIs	https://doi.org/10.1109/EEM54602.2022.9921083
Publication status	Published - 2022
MoE publication type	A4 Conference publication
Event	International Conference on the European Energy Market - Ljubljana, Slovenia Duration: 13 Sept 2022 → 15 Sept 2022 Conference number: 18

Publication series

Name	International Conference on the European Energy Market
Volume	2022-September
ISSN (Print)	2165-4077
ISSN (Electronic)	2165-4093

Conference

Conference	International Conference on the European Energy Market
Abbreviated title	eem
Country/Territory	Slovenia
City	Ljubljana
Period	13/09/2022 → 15/09/2022

Keywords

distribution grid
flexibility
flexible distributed power generation unit.
Hydrogen storage system
renewable generation

UN SDGs

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

Access to Document

10.1109/EEM54602.2022.9921083

Cite this

Fattaheian-Dehkordi, S., Tavakkoli, M., Fotuhi-Firuzabad, M., Abbaspour, A., Habibi, M., & Lehtonen, M. (2022). Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem. In 18th International Conference on the European Energy Market, EEM 2022 (International Conference on the European Energy Market; Vol. 2022-September). IEEE. https://doi.org/10.1109/EEM54602.2022.9921083

@inproceedings{bcfaa2fda6a1411f8c0f61bbe8359292,

title = "Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem",

abstract = "Introduction of distributed power generation (DPG) units such as renewable generation (RG) units has resulted in changing the operation and planning of distribution grids. In this context, while the RG units could enable the utilities to supply the demand locally, their overpower generation could cause congestion problems in the grid. As a result, while the distribution grids are designed based on the fit-and-forget concept, the efficient planning of responsive DPGs should be employed to ensure relieving the congestion problem in the grid. Respectively, this paper aims to optimally allocate the hydrogen storage systems (HSSs) in the grid to ensure the increasing investment of RG units would not cause congestion problems in the grid. In this regard, the stochastic optimization technique as well as the condition value at risk (CVaR) method are employed to model the uncertainty of power generation by RGs while optimizing the allocation of HSSs in the grid. Based on the above discussions, the proposed optimization model is applied to the IEEE 37 bus system to analyze the impact of HSSs in relieving the congestion problem in the grid which is caused by the increasing integration of RGs.",

keywords = "distribution grid, flexibility, flexible distributed power generation unit., Hydrogen storage system, renewable generation",

author = "Sajjad Fattaheian-Dehkordi and Mehdi Tavakkoli and Mahmoud Fotuhi-Firuzabad and Ali Abbaspour and Mina Habibi and Matti Lehtonen",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; International Conference on the European Energy Market, eem ; Conference date: 13-09-2022 Through 15-09-2022",

year = "2022",

doi = "10.1109/EEM54602.2022.9921083",

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Fattaheian-Dehkordi, S, Tavakkoli, M, Fotuhi-Firuzabad, M, Abbaspour, A, Habibi, M & Lehtonen, M 2022, Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem. in 18th International Conference on the European Energy Market, EEM 2022. International Conference on the European Energy Market, vol. 2022-September, IEEE, International Conference on the European Energy Market, Ljubljana, Slovenia, 13/09/2022. https://doi.org/10.1109/EEM54602.2022.9921083

Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem. / Fattaheian-Dehkordi, Sajjad; Tavakkoli, Mehdi; Fotuhi-Firuzabad, Mahmoud et al.
18th International Conference on the European Energy Market, EEM 2022. IEEE, 2022. (International Conference on the European Energy Market; Vol. 2022-September).

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

TY - GEN

T1 - Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem

AU - Fattaheian-Dehkordi, Sajjad

AU - Tavakkoli, Mehdi

AU - Fotuhi-Firuzabad, Mahmoud

AU - Abbaspour, Ali

AU - Habibi, Mina

AU - Lehtonen, Matti

N1 - Conference code: 18

PY - 2022

Y1 - 2022

N2 - Introduction of distributed power generation (DPG) units such as renewable generation (RG) units has resulted in changing the operation and planning of distribution grids. In this context, while the RG units could enable the utilities to supply the demand locally, their overpower generation could cause congestion problems in the grid. As a result, while the distribution grids are designed based on the fit-and-forget concept, the efficient planning of responsive DPGs should be employed to ensure relieving the congestion problem in the grid. Respectively, this paper aims to optimally allocate the hydrogen storage systems (HSSs) in the grid to ensure the increasing investment of RG units would not cause congestion problems in the grid. In this regard, the stochastic optimization technique as well as the condition value at risk (CVaR) method are employed to model the uncertainty of power generation by RGs while optimizing the allocation of HSSs in the grid. Based on the above discussions, the proposed optimization model is applied to the IEEE 37 bus system to analyze the impact of HSSs in relieving the congestion problem in the grid which is caused by the increasing integration of RGs.

AB - Introduction of distributed power generation (DPG) units such as renewable generation (RG) units has resulted in changing the operation and planning of distribution grids. In this context, while the RG units could enable the utilities to supply the demand locally, their overpower generation could cause congestion problems in the grid. As a result, while the distribution grids are designed based on the fit-and-forget concept, the efficient planning of responsive DPGs should be employed to ensure relieving the congestion problem in the grid. Respectively, this paper aims to optimally allocate the hydrogen storage systems (HSSs) in the grid to ensure the increasing investment of RG units would not cause congestion problems in the grid. In this regard, the stochastic optimization technique as well as the condition value at risk (CVaR) method are employed to model the uncertainty of power generation by RGs while optimizing the allocation of HSSs in the grid. Based on the above discussions, the proposed optimization model is applied to the IEEE 37 bus system to analyze the impact of HSSs in relieving the congestion problem in the grid which is caused by the increasing integration of RGs.

KW - distribution grid

KW - flexibility

KW - flexible distributed power generation unit.

KW - Hydrogen storage system

KW - renewable generation

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DO - 10.1109/EEM54602.2022.9921083

M3 - Conference article in proceedings

AN - SCOPUS:85141198783

T3 - International Conference on the European Energy Market

BT - 18th International Conference on the European Energy Market, EEM 2022

PB - IEEE

T2 - International Conference on the European Energy Market

Y2 - 13 September 2022 through 15 September 2022

ER -

Hydrogen Storage System Allocation in a Distribution Grid Considering Congestion Problem

Abstract

Publication series

Conference

Keywords

UN SDGs

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