Combining DSM and storage to alleviate current congestion in distribution grids

Kristof Coninx, Mohammad Moradzadeh, Tom Holvoet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Storing energy is one possible active network management (ANM) technique for reducing wind turbine induced distribution grid congestion. However, in most cases investment costs for installing storage solutions far outweigh the cost for infrastructure upgrades. Our research shows that combining demand side management and storage techniques can prove effective in reducing the total investment costs in certain cases while increasing these costs in other cases. In this work we qualify when demand side management can prove beneficial to the total investment cost of deploying ANM techniques and we quantify the amount of cost decrease DSM can offer. We present cost models for storage and DSM and describe ANM resource allocation techniques while considering real world regulatory constraints.

Original languageEnglish
Title of host publicationISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe
PublisherIEEE Computer Society
Number of pages6
VolumePart F126485
ISBN (Electronic)9781509033584
DOIs
Publication statusPublished - 16 Feb 2017
EventIEEE Power and Energy Society Innovative Smart Grid Technologies Conference - Ljubljana, Slovenia
Duration: 9 Oct 201612 Oct 2016
http://sites.ieee.org/isgt-europe-2016/ (Link to Conference Website )

Conference

ConferenceIEEE Power and Energy Society Innovative Smart Grid Technologies Conference
Abbreviated titlePES ISGT 2016
CountrySlovenia
CityLjubljana
Period9/10/1612/10/16
Internet address

Fingerprint

Active networks
Network management
Costs
Wind turbines
Resource allocation
Demand side management

Cite this

Coninx, K., Moradzadeh, M., & Holvoet, T. (2017). Combining DSM and storage to alleviate current congestion in distribution grids. In ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe (Vol. Part F126485). [7856202] IEEE Computer Society. https://doi.org/10.1109/ISGTEurope.2016.7856202
Coninx, Kristof ; Moradzadeh, Mohammad ; Holvoet, Tom. / Combining DSM and storage to alleviate current congestion in distribution grids. ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe. Vol. Part F126485 IEEE Computer Society, 2017.
@inproceedings{8227a12cbca1405a819276681888b946,
title = "Combining DSM and storage to alleviate current congestion in distribution grids",
abstract = "Storing energy is one possible active network management (ANM) technique for reducing wind turbine induced distribution grid congestion. However, in most cases investment costs for installing storage solutions far outweigh the cost for infrastructure upgrades. Our research shows that combining demand side management and storage techniques can prove effective in reducing the total investment costs in certain cases while increasing these costs in other cases. In this work we qualify when demand side management can prove beneficial to the total investment cost of deploying ANM techniques and we quantify the amount of cost decrease DSM can offer. We present cost models for storage and DSM and describe ANM resource allocation techniques while considering real world regulatory constraints.",
author = "Kristof Coninx and Mohammad Moradzadeh and Tom Holvoet",
note = "No record of this in Eprints. HN 25/10/2017",
year = "2017",
month = "2",
day = "16",
doi = "10.1109/ISGTEurope.2016.7856202",
language = "English",
volume = "Part F126485",
booktitle = "ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe",
publisher = "IEEE Computer Society",
address = "United States",

}

Coninx, K, Moradzadeh, M & Holvoet, T 2017, Combining DSM and storage to alleviate current congestion in distribution grids. in ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe. vol. Part F126485, 7856202, IEEE Computer Society, IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, Ljubljana, Slovenia, 9/10/16. https://doi.org/10.1109/ISGTEurope.2016.7856202

Combining DSM and storage to alleviate current congestion in distribution grids. / Coninx, Kristof; Moradzadeh, Mohammad; Holvoet, Tom.

ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe. Vol. Part F126485 IEEE Computer Society, 2017. 7856202.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Combining DSM and storage to alleviate current congestion in distribution grids

AU - Coninx, Kristof

AU - Moradzadeh, Mohammad

AU - Holvoet, Tom

N1 - No record of this in Eprints. HN 25/10/2017

PY - 2017/2/16

Y1 - 2017/2/16

N2 - Storing energy is one possible active network management (ANM) technique for reducing wind turbine induced distribution grid congestion. However, in most cases investment costs for installing storage solutions far outweigh the cost for infrastructure upgrades. Our research shows that combining demand side management and storage techniques can prove effective in reducing the total investment costs in certain cases while increasing these costs in other cases. In this work we qualify when demand side management can prove beneficial to the total investment cost of deploying ANM techniques and we quantify the amount of cost decrease DSM can offer. We present cost models for storage and DSM and describe ANM resource allocation techniques while considering real world regulatory constraints.

AB - Storing energy is one possible active network management (ANM) technique for reducing wind turbine induced distribution grid congestion. However, in most cases investment costs for installing storage solutions far outweigh the cost for infrastructure upgrades. Our research shows that combining demand side management and storage techniques can prove effective in reducing the total investment costs in certain cases while increasing these costs in other cases. In this work we qualify when demand side management can prove beneficial to the total investment cost of deploying ANM techniques and we quantify the amount of cost decrease DSM can offer. We present cost models for storage and DSM and describe ANM resource allocation techniques while considering real world regulatory constraints.

UR - http://www.scopus.com/inward/record.url?scp=85017527751&partnerID=8YFLogxK

U2 - 10.1109/ISGTEurope.2016.7856202

DO - 10.1109/ISGTEurope.2016.7856202

M3 - Conference contribution

VL - Part F126485

BT - ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe

PB - IEEE Computer Society

ER -

Coninx K, Moradzadeh M, Holvoet T. Combining DSM and storage to alleviate current congestion in distribution grids. In ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe. Vol. Part F126485. IEEE Computer Society. 2017. 7856202 https://doi.org/10.1109/ISGTEurope.2016.7856202