Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading

M.H. Roos; Bart Holthuizen

doi:10.1109/UPEC.2018.8541879

Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading

M.H. Roos
, Bart Holthuizen

Electrical Energy Systems

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

5 Citations (Scopus)

294 Downloads (Pure)

Abstract

An increasing number of households have dis-tributed generation (DG), while in many countries netting ar-rangements are disappearing. Therefore, consumers are driven to increase self-consumption with household battery energy storage systems (HBESS). To maximize benefits, HBESS may be uti-lized for frequency control reserve (FCR), automated frequency restoration reserve (aFRR) and trading on the day-ahead market in the future. The potentially high simultaneity factor and power rating of HBESS could cause overloading and voltage magni-tude problems in distribution networks. Distribution network operators (DNOs) currently do not take market trading HBESS into account in low voltage (LV) network planning. This paper proposes a methodology which enables DNOs to determine the impact of HBESS on the distribution network. The methodology enables analysis of HBESS utilized for FCR, aFRR and trading on the day-ahead markets with minimum input data required. The methodology is demonstrated for each market and two HBESS penetration rates in four real LV distribution networks.

Original language	English
Title of host publication	53rd International Universities Power Engineering Conference 4th-7th September 2018, Glasgow, Scotland
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	978-1-5386-2910-9
DOIs	https://doi.org/10.1109/UPEC.2018.8541879
Publication status	Published - 20 Nov 2018
Event	53rd International Universities Power Engineering Conference (UPEC 2018) - Glasgow Caledonian University, Glasgow, United Kingdom Duration: 4 Sept 2018 → 7 Sept 2018 Conference number: 53 http://www.upec2018.com/

Conference

Conference	53rd International Universities Power Engineering Conference (UPEC 2018)
Abbreviated title	UPEC 2018
Country/Territory	United Kingdom
City	Glasgow
Period	4/09/18 → 7/09/18
Internet address	http://www.upec2018.com/

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy storage
market trading
network con-gestion
self-consumption

Access to Document

10.1109/UPEC.2018.8541879

Congestion of LV Distribution Networks by Household Battery Energy Storage Systems utilized for FCR, aFRR and Market TradingFinal author version , 625 KB
Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market tradingFinal author version , 629 KB

Cite this

Roos, M. H., & Holthuizen, B. (2018). Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading. In 53rd International Universities Power Engineering Conference 4th-7th September 2018, Glasgow, Scotland Article 8541879 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/UPEC.2018.8541879

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title = "Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading",

abstract = "An increasing number of households have dis-tributed generation (DG), while in many countries netting ar-rangements are disappearing. Therefore, consumers are driven to increase self-consumption with household battery energy storage systems (HBESS). To maximize benefits, HBESS may be uti-lized for frequency control reserve (FCR), automated frequency restoration reserve (aFRR) and trading on the day-ahead market in the future. The potentially high simultaneity factor and power rating of HBESS could cause overloading and voltage magni-tude problems in distribution networks. Distribution network operators (DNOs) currently do not take market trading HBESS into account in low voltage (LV) network planning. This paper proposes a methodology which enables DNOs to determine the impact of HBESS on the distribution network. The methodology enables analysis of HBESS utilized for FCR, aFRR and trading on the day-ahead markets with minimum input data required. The methodology is demonstrated for each market and two HBESS penetration rates in four real LV distribution networks.",

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Roos, MH & Holthuizen, B 2018, Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading. in 53rd International Universities Power Engineering Conference 4th-7th September 2018, Glasgow, Scotland., 8541879, Institute of Electrical and Electronics Engineers, Piscataway, 53rd International Universities Power Engineering Conference (UPEC 2018), Glasgow, United Kingdom, 4/09/18. https://doi.org/10.1109/UPEC.2018.8541879

Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading. / Roos, M.H.; Holthuizen, Bart.
53rd International Universities Power Engineering Conference 4th-7th September 2018, Glasgow, Scotland. Piscataway: Institute of Electrical and Electronics Engineers, 2018. 8541879.

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

TY - GEN

T1 - Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading

AU - Roos, M.H.

AU - Holthuizen, Bart

N1 - Conference code: 53

PY - 2018/11/20

Y1 - 2018/11/20

N2 - An increasing number of households have dis-tributed generation (DG), while in many countries netting ar-rangements are disappearing. Therefore, consumers are driven to increase self-consumption with household battery energy storage systems (HBESS). To maximize benefits, HBESS may be uti-lized for frequency control reserve (FCR), automated frequency restoration reserve (aFRR) and trading on the day-ahead market in the future. The potentially high simultaneity factor and power rating of HBESS could cause overloading and voltage magni-tude problems in distribution networks. Distribution network operators (DNOs) currently do not take market trading HBESS into account in low voltage (LV) network planning. This paper proposes a methodology which enables DNOs to determine the impact of HBESS on the distribution network. The methodology enables analysis of HBESS utilized for FCR, aFRR and trading on the day-ahead markets with minimum input data required. The methodology is demonstrated for each market and two HBESS penetration rates in four real LV distribution networks.

AB - An increasing number of households have dis-tributed generation (DG), while in many countries netting ar-rangements are disappearing. Therefore, consumers are driven to increase self-consumption with household battery energy storage systems (HBESS). To maximize benefits, HBESS may be uti-lized for frequency control reserve (FCR), automated frequency restoration reserve (aFRR) and trading on the day-ahead market in the future. The potentially high simultaneity factor and power rating of HBESS could cause overloading and voltage magni-tude problems in distribution networks. Distribution network operators (DNOs) currently do not take market trading HBESS into account in low voltage (LV) network planning. This paper proposes a methodology which enables DNOs to determine the impact of HBESS on the distribution network. The methodology enables analysis of HBESS utilized for FCR, aFRR and trading on the day-ahead markets with minimum input data required. The methodology is demonstrated for each market and two HBESS penetration rates in four real LV distribution networks.

KW - Energy storage

KW - market trading

KW - network con-gestion

KW - self-consumption

UR - https://www.scopus.com/pages/publications/85059966046

U2 - 10.1109/UPEC.2018.8541879

DO - 10.1109/UPEC.2018.8541879

M3 - Conference contribution

BT - 53rd International Universities Power Engineering Conference 4th-7th September 2018, Glasgow, Scotland

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 53rd International Universities Power Engineering Conference (UPEC 2018)

Y2 - 4 September 2018 through 7 September 2018

ER -

Congestion of LV distribution networks by household battery energy storage systems utilized for FCR, aFRR and market trading

Abstract

Conference

UN SDGs

Keywords

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