Data-driven flexibility requirements for current and future scenarios with high penetration of renewables

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The way towards a more sustainable future, involves increasing amounts of variable renewable energy (VRE), yet the inherent variability in VRE generation poses challenges on power system management. In this paper, a method is presented to quickly assess the fluctuating discrepancies between VRE production (wind and solar) and electricity consumption for system planning purposes. The method utilizes a discrete Fourier transform (DFT) analysis to disentangle the energy storage and power flexibility requirements on different frequencies and is applied here to different geographical areas and to current and future scenarios in both real and simulated hourly data. Novelties include a subdivision of the residual load in more temporal scales than usually adopted, a pie chart visualization to compare the strength of different oscillations and a ready‐to‐use Python module.
Original languageEnglish
Title of host publicationProceedings of International Conference on Applied Energy 2019
Number of pages4
Publication date2019
Article numberPaper ID: 0341
Publication statusPublished - 2019
EventInternational Conference on Applied Energy 2019 - Mälardalens högskola, Västerås, Sweden
Duration: 12 Aug 201915 Aug 2019

Conference

ConferenceInternational Conference on Applied Energy 2019
LocationMälardalens högskola
CountrySweden
CityVästerås
Period12/08/201915/08/2019

Keywords

  • Energy  storage
  • Flexibility
  • Flexible  load
  • Power system planning
  • Renewable power
  • Timeseries  analysis

Cite this

@inproceedings{3ee824655c7e4c08b45156d9124d911a,
title = "Data-driven flexibility requirements for current and future scenarios with high penetration of renewables",
abstract = "The way towards a more sustainable future, involves increasing amounts of variable renewable energy (VRE), yet the inherent variability in VRE generation poses challenges on power system management. In this paper, a method is presented to quickly assess the fluctuating discrepancies between VRE production (wind and solar) and electricity consumption for system planning purposes. The method utilizes a discrete Fourier transform (DFT) analysis to disentangle the energy storage and power flexibility requirements on different frequencies and is applied here to different geographical areas and to current and future scenarios in both real and simulated hourly data. Novelties include a subdivision of the residual load in more temporal scales than usually adopted, a pie chart visualization to compare the strength of different oscillations and a ready‐to‐use Python module.",
keywords = "Energy  storage, Flexibility, Flexible  load, Power system planning, Renewable power, Timeseries  analysis",
author = "Olsen, {Karen Pardos} and Yi Zong and Shi You and Bindner, {Henrik W.} and Koivisto, {Matti Juhani} and Juan Gea-Bermudez",
year = "2019",
language = "English",
booktitle = "Proceedings of International Conference on Applied Energy 2019",

}

Olsen, KP, Zong, Y, You, S, Bindner, HW, Koivisto, MJ & Gea-Bermudez, J 2019, Data-driven flexibility requirements for current and future scenarios with high penetration of renewables. in Proceedings of International Conference on Applied Energy 2019., Paper ID: 0341, International Conference on Applied Energy 2019, Västerås, Sweden, 12/08/2019.

Data-driven flexibility requirements for current and future scenarios with high penetration of renewables. / Olsen, Karen Pardos; Zong, Yi; You, Shi; Bindner, Henrik W.; Koivisto, Matti Juhani; Gea-Bermudez, Juan.

Proceedings of International Conference on Applied Energy 2019. 2019. Paper ID: 0341.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Data-driven flexibility requirements for current and future scenarios with high penetration of renewables

AU - Olsen, Karen Pardos

AU - Zong, Yi

AU - You, Shi

AU - Bindner, Henrik W.

AU - Koivisto, Matti Juhani

AU - Gea-Bermudez, Juan

PY - 2019

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N2 - The way towards a more sustainable future, involves increasing amounts of variable renewable energy (VRE), yet the inherent variability in VRE generation poses challenges on power system management. In this paper, a method is presented to quickly assess the fluctuating discrepancies between VRE production (wind and solar) and electricity consumption for system planning purposes. The method utilizes a discrete Fourier transform (DFT) analysis to disentangle the energy storage and power flexibility requirements on different frequencies and is applied here to different geographical areas and to current and future scenarios in both real and simulated hourly data. Novelties include a subdivision of the residual load in more temporal scales than usually adopted, a pie chart visualization to compare the strength of different oscillations and a ready‐to‐use Python module.

AB - The way towards a more sustainable future, involves increasing amounts of variable renewable energy (VRE), yet the inherent variability in VRE generation poses challenges on power system management. In this paper, a method is presented to quickly assess the fluctuating discrepancies between VRE production (wind and solar) and electricity consumption for system planning purposes. The method utilizes a discrete Fourier transform (DFT) analysis to disentangle the energy storage and power flexibility requirements on different frequencies and is applied here to different geographical areas and to current and future scenarios in both real and simulated hourly data. Novelties include a subdivision of the residual load in more temporal scales than usually adopted, a pie chart visualization to compare the strength of different oscillations and a ready‐to‐use Python module.

KW - Energy  storage

KW - Flexibility

KW - Flexible  load

KW - Power system planning

KW - Renewable power

KW - Timeseries  analysis

M3 - Article in proceedings

BT - Proceedings of International Conference on Applied Energy 2019

ER -