Congestion-induced wind curtailment mitigation using energy storage

Mohammad Moradzadeh; Brecht Zwaenepoel; Jan Van De Vyver; Lieven Vandevelde

doi:10.1109/ENERGYCON.2014.6850483

Congestion-induced wind curtailment mitigation using energy storage

Mohammad Moradzadeh, Brecht Zwaenepoel, Jan Van De Vyver, Lieven Vandevelde

Ghent University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.

Original language	English
Title of host publication	ENERGYCON 2014
Subtitle of host publication	IEEE International Energy Conference
Publisher	IEEE Computer Society
Pages	572-576
Number of pages	5
ISBN (Print)	9781479924493
DOIs	https://doi.org/10.1109/ENERGYCON.2014.6850483
Publication status	Published - 2014
Externally published	Yes
Event	2014 IEEE International Energy Conference - Dubrovnik, Croatia Duration: 13 May 2014 → 16 May 2014 http://www.energycon2014.org/ (Link to Conference Website)

Conference

Conference	2014 IEEE International Energy Conference
Abbreviated title	ENERGYCON 2014
Country/Territory	Croatia
City	Dubrovnik
Period	13/05/14 → 16/05/14
Internet address	http://www.energycon2014.org/ (Link to Conference Website)

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/ENERGYCON.2014.6850483Licence: Unspecified

Cite this

@inproceedings{b750648b0c904a59af372684040a97c5,

title = "Congestion-induced wind curtailment mitigation using energy storage",

abstract = "Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.",

keywords = "active network management, optimization, storage, transmission congestion, Wind curtailment",

author = "Mohammad Moradzadeh and Brecht Zwaenepoel and \{Van De Vyver\}, Jan and Lieven Vandevelde",

note = "No record of this in Eprints. HN 24/11/2017; 2014 IEEE International Energy Conference, ENERGYCON 2014 ; Conference date: 13-05-2014 Through 16-05-2014",

year = "2014",

doi = "10.1109/ENERGYCON.2014.6850483",

language = "English",

isbn = "9781479924493",

pages = "572--576",

booktitle = "ENERGYCON 2014",

publisher = "IEEE Computer Society",

address = "United States",

url = "http://www.energycon2014.org/",

}

TY - GEN

T1 - Congestion-induced wind curtailment mitigation using energy storage

AU - Moradzadeh, Mohammad

AU - Zwaenepoel, Brecht

AU - Van De Vyver, Jan

AU - Vandevelde, Lieven

N1 - No record of this in Eprints. HN 24/11/2017

PY - 2014

Y1 - 2014

N2 - Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.

AB - Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.

KW - active network management

KW - optimization

KW - storage

KW - transmission congestion

KW - Wind curtailment

UR - https://www.scopus.com/pages/publications/84905049224

U2 - 10.1109/ENERGYCON.2014.6850483

DO - 10.1109/ENERGYCON.2014.6850483

M3 - Conference contribution

AN - SCOPUS:84905049224

SN - 9781479924493

SP - 572

EP - 576

BT - ENERGYCON 2014

PB - IEEE Computer Society

T2 - 2014 IEEE International Energy Conference

Y2 - 13 May 2014 through 16 May 2014

ER -

Congestion-induced wind curtailment mitigation using energy storage

Abstract

Conference

UN SDGs

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