The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method

Edmund W. Schaefer; Gerwin Hoogsteen; Bart Nijenhuis; Johann L. Hurink; Richard P. van Leeuwen

doi:10.1109/SmartGridComm57358.2023.10333880

The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method

Edmund W. Schaefer
, Gerwin Hoogsteen
, Bart Nijenhuis
, Johann L. Hurink
, Richard P. van Leeuwen

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

37 Downloads (Pure)

Abstract

This paper investigates the influences of cut-off frequency selection and data resolution on the flexibility requirements found from an imbalance load profile. A filter-based signal technique is used to create sub-profiles representing a grid connection and an energy storage. The method is evaluated based on a use case of an EV charging hub microgrid for a parcel distribution center with 100% PV energy generation. Hereby several load profile data resolutions are used for the analysis. It is found that using a resolution of 60 minutes to find storage capacity requirements yields a 208 times larger capacity requirement compared to using a resolution of 10 seconds. Additionally, using a resolution of 10 seconds find the used storage discharging cycles per year yields 148 times more cycles used when compared to a resolution of 60 minutes. Finally, an ESS capacity of 5.4 MWh and a power rating of 8.9 MW is selected.

Original language	English
Title of host publication	2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781665455541
ISBN (Print)	978-1-6654-5557-2
DOIs	https://doi.org/10.1109/SmartGridComm57358.2023.10333880
Publication status	Published - 6 Dec 2023
Event	2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - University of Strathclyde, Glasgow, United Kingdom Duration: 31 Oct 2023 → 3 Nov 2023

Conference

Conference	2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Country/Territory	United Kingdom
City	Glasgow
Period	31/10/23 → 3/11/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

2024 OA procedure
Energy resolution
Cutoff frequency
Microgrids
Electric vehicle charging
Smart grids
Signal resolution
NLA
Computers

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10.1109/SmartGridComm57358.2023.10333880

The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition MethodFinal published version, 259 KBLicence: Taverne

https://ieeexplore.ieee.org/document/10333880/

Cite this

Schaefer, E. W., Hoogsteen, G., Nijenhuis, B., Hurink, J. L., & Leeuwen, R. P. V. (2023). The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method. In 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 1-6). Article 10333880 IEEE. https://doi.org/10.1109/SmartGridComm57358.2023.10333880

@inproceedings{11547f02f0b94b4081b015787356d84b,

title = "The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method",

abstract = "This paper investigates the influences of cut-off frequency selection and data resolution on the flexibility requirements found from an imbalance load profile. A filter-based signal technique is used to create sub-profiles representing a grid connection and an energy storage. The method is evaluated based on a use case of an EV charging hub microgrid for a parcel distribution center with 100\% PV energy generation. Hereby several load profile data resolutions are used for the analysis. It is found that using a resolution of 60 minutes to find storage capacity requirements yields a 208 times larger capacity requirement compared to using a resolution of 10 seconds. Additionally, using a resolution of 10 seconds find the used storage discharging cycles per year yields 148 times more cycles used when compared to a resolution of 60 minutes. Finally, an ESS capacity of 5.4 MWh and a power rating of 8.9 MW is selected.",

keywords = "2024 OA procedure, Energy resolution, Cutoff frequency, Microgrids, Electric vehicle charging, Smart grids, Signal resolution, NLA, Computers",

author = "Schaefer, \{Edmund W.\} and Gerwin Hoogsteen and Bart Nijenhuis and Hurink, \{Johann L.\} and Leeuwen, \{Richard P. van\}",

year = "2023",

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doi = "10.1109/SmartGridComm57358.2023.10333880",

language = "English",

isbn = "978-1-6654-5557-2",

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booktitle = "2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)",

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Schaefer, EW, Hoogsteen, G , Nijenhuis, B , Hurink, JL & Leeuwen, RPV 2023, The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method. in 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)., 10333880, IEEE, Piscataway, NJ, pp. 1-6, 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, United Kingdom, 31/10/23. https://doi.org/10.1109/SmartGridComm57358.2023.10333880

The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method. / Schaefer, Edmund W.; Hoogsteen, Gerwin ; Nijenhuis, Bart et al.
2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). Piscataway, NJ: IEEE, 2023. p. 1-6 10333880.

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

TY - GEN

T1 - The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method

AU - Schaefer, Edmund W.

AU - Hoogsteen, Gerwin

AU - Nijenhuis, Bart

AU - Hurink, Johann L.

AU - Leeuwen, Richard P. van

PY - 2023/12/6

Y1 - 2023/12/6

N2 - This paper investigates the influences of cut-off frequency selection and data resolution on the flexibility requirements found from an imbalance load profile. A filter-based signal technique is used to create sub-profiles representing a grid connection and an energy storage. The method is evaluated based on a use case of an EV charging hub microgrid for a parcel distribution center with 100% PV energy generation. Hereby several load profile data resolutions are used for the analysis. It is found that using a resolution of 60 minutes to find storage capacity requirements yields a 208 times larger capacity requirement compared to using a resolution of 10 seconds. Additionally, using a resolution of 10 seconds find the used storage discharging cycles per year yields 148 times more cycles used when compared to a resolution of 60 minutes. Finally, an ESS capacity of 5.4 MWh and a power rating of 8.9 MW is selected.

AB - This paper investigates the influences of cut-off frequency selection and data resolution on the flexibility requirements found from an imbalance load profile. A filter-based signal technique is used to create sub-profiles representing a grid connection and an energy storage. The method is evaluated based on a use case of an EV charging hub microgrid for a parcel distribution center with 100% PV energy generation. Hereby several load profile data resolutions are used for the analysis. It is found that using a resolution of 60 minutes to find storage capacity requirements yields a 208 times larger capacity requirement compared to using a resolution of 10 seconds. Additionally, using a resolution of 10 seconds find the used storage discharging cycles per year yields 148 times more cycles used when compared to a resolution of 60 minutes. Finally, an ESS capacity of 5.4 MWh and a power rating of 8.9 MW is selected.

KW - 2024 OA procedure

KW - Energy resolution

KW - Cutoff frequency

KW - Microgrids

KW - Electric vehicle charging

KW - Smart grids

KW - Signal resolution

KW - NLA

KW - Computers

U2 - 10.1109/SmartGridComm57358.2023.10333880

DO - 10.1109/SmartGridComm57358.2023.10333880

M3 - Conference contribution

SN - 978-1-6654-5557-2

SP - 1

EP - 6

BT - 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

PB - IEEE

CY - Piscataway, NJ

T2 - 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

Y2 - 31 October 2023 through 3 November 2023

ER -

Schaefer EW, Hoogsteen G , Nijenhuis B , Hurink JL, Leeuwen RPV. The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method. In 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). Piscataway, NJ: IEEE. 2023. p. 1-6. 10333880 doi: 10.1109/SmartGridComm57358.2023.10333880

The Effect of Data Resolution on the Sizing of Energy Storage Systems Using a Load Profile Signal Decomposition Method

Abstract

Conference

UN SDGs

Keywords

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