Combining DSM and storage to alleviate current congestion in distribution grids

Kristof Coninx; Mohammad Moradzadeh; Tom Holvoet

doi:10.1109/ISGTEurope.2016.7856202

Combining DSM and storage to alleviate current congestion in distribution grids

Kristof Coninx, Mohammad Moradzadeh, Tom Holvoet

KU Leuven

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

7 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 language	English
Title of host publication	ISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe
Publisher	IEEE Computer Society
Number of pages	6
Volume	Part F126485
ISBN (Electronic)	9781509033584
DOIs	https://doi.org/10.1109/ISGTEurope.2016.7856202
Publication status	Published - 16 Feb 2017
Event	IEEE Power and Energy Society Innovative Smart Grid Technologies Conference - Ljubljana, Slovenia Duration: 9 Oct 2016 → 12 Oct 2016 http://sites.ieee.org/isgt-europe-2016/ (Link to Conference Website )

Conference

Conference	IEEE Power and Energy Society Innovative Smart Grid Technologies Conference
Abbreviated title	PES ISGT 2016
Country/Territory	Slovenia
City	Ljubljana
Period	9/10/16 → 12/10/16
Internet address	http://sites.ieee.org/isgt-europe-2016/ (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/ISGTEurope.2016.7856202Licence: Unspecified

Cite this

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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; IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, PES ISGT 2016 ; Conference date: 09-10-2016 Through 12-10-2016",

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doi = "10.1109/ISGTEurope.2016.7856202",

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}

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

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 - https://www.scopus.com/pages/publications/85017527751

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

T2 - IEEE Power and Energy Society Innovative Smart Grid Technologies Conference

Y2 - 9 October 2016 through 12 October 2016

ER -

Combining DSM and storage to alleviate current congestion in distribution grids

Abstract

Conference

UN SDGs

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