Comparison of Adapted PSO Methods Regarding the Determination of Grid Operation Constraints in the Vertical Active and Reactive Power Plane

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OriginalspracheEnglisch
Titel des SammelwerksProceedings 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350327748
ISBN (Print)9798350327755
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023 - Auckland, Neuseeland
Dauer: 21 Nov. 202324 Nov. 2023

Publikationsreihe

NameIEEE PES Innovative Smart Grid Technologies
ISSN (Print)2378-8534
ISSN (elektronisch)2378-8542

Abstract

With the ongoing electrification of heat and mobility a large amount of high-power devices is added to the distribution system level. Their so far assumed power behavior is expected to change in case of an active participation in emerging power flexibility markets. Thus, conventional grid planning approaches, that use simultaneity factors and determined power values, incompletely map the utilization potentials of the grids utilities due to the new active and reactive power flexibilities. To derive possibly needed grid reinforcement measures, knowledge about the occurring grid operational constraints is required. One approach to enable system operators to use these flexibilities in the context of vertical system level cooperation is the aggregation of power flexibilities at the vertical interconnection as a feasible operation region (FOR). This paper focusses on the comparison of methods, that emerged from the adaption of a particle swarm optimization (PSO) algorithm, which aims on identifying the FOR but also the grid operation constraints, i.e. voltage band, thermal line currents and transformer rating, in the active and reactive power plane. This is done to improve the integration of new devices in the planning process towards active distribution grids by comprehensively identifying constraining limits. As an exemplary case-study a generic low-voltage network with simple string topology is used. Results show, that post-processing data driven methods are significantly faster in regards to computation time, but need significantly higher data storage in contrast to an additional sampling strategy with the PSO algorithm. As key factor, the PSO algorithm only finds solutions that comply with the grid operational constraints, whereas the data driven approaches can over and underestimate the resulting polygonal area. The main contribution of this paper is the methodological comparison of PSO based approaches towards an improved system planning process of active distribution grids.

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Comparison of Adapted PSO Methods Regarding the Determination of Grid Operation Constraints in the Vertical Active and Reactive Power Plane. / Wingenfelder, M.; Hofmann, L.
Proceedings 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE PES Innovative Smart Grid Technologies).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Wingenfelder, M & Hofmann, L 2023, Comparison of Adapted PSO Methods Regarding the Determination of Grid Operation Constraints in the Vertical Active and Reactive Power Plane. in Proceedings 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023. IEEE PES Innovative Smart Grid Technologies, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023, Auckland, Neuseeland, 21 Nov. 2023. https://doi.org/10.1109/ISGTAsia54891.2023.10372677
Wingenfelder, M., & Hofmann, L. (2023). Comparison of Adapted PSO Methods Regarding the Determination of Grid Operation Constraints in the Vertical Active and Reactive Power Plane. In Proceedings 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023 (IEEE PES Innovative Smart Grid Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTAsia54891.2023.10372677
Wingenfelder M, Hofmann L. Comparison of Adapted PSO Methods Regarding the Determination of Grid Operation Constraints in the Vertical Active and Reactive Power Plane. in Proceedings 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (IEEE PES Innovative Smart Grid Technologies). doi: 10.1109/ISGTAsia54891.2023.10372677
Wingenfelder, M. ; Hofmann, L. / Comparison of Adapted PSO Methods Regarding the Determination of Grid Operation Constraints in the Vertical Active and Reactive Power Plane. Proceedings 2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE PES Innovative Smart Grid Technologies).
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abstract = "With the ongoing electrification of heat and mobility a large amount of high-power devices is added to the distribution system level. Their so far assumed power behavior is expected to change in case of an active participation in emerging power flexibility markets. Thus, conventional grid planning approaches, that use simultaneity factors and determined power values, incompletely map the utilization potentials of the grids utilities due to the new active and reactive power flexibilities. To derive possibly needed grid reinforcement measures, knowledge about the occurring grid operational constraints is required. One approach to enable system operators to use these flexibilities in the context of vertical system level cooperation is the aggregation of power flexibilities at the vertical interconnection as a feasible operation region (FOR). This paper focusses on the comparison of methods, that emerged from the adaption of a particle swarm optimization (PSO) algorithm, which aims on identifying the FOR but also the grid operation constraints, i.e. voltage band, thermal line currents and transformer rating, in the active and reactive power plane. This is done to improve the integration of new devices in the planning process towards active distribution grids by comprehensively identifying constraining limits. As an exemplary case-study a generic low-voltage network with simple string topology is used. Results show, that post-processing data driven methods are significantly faster in regards to computation time, but need significantly higher data storage in contrast to an additional sampling strategy with the PSO algorithm. As key factor, the PSO algorithm only finds solutions that comply with the grid operational constraints, whereas the data driven approaches can over and underestimate the resulting polygonal area. The main contribution of this paper is the methodological comparison of PSO based approaches towards an improved system planning process of active distribution grids.",
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AU - Wingenfelder, M.

AU - Hofmann, L.

N1 - Funding Information: This research was funded by German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V. DLR) – funding ref. 01MZ18011B.)

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N2 - With the ongoing electrification of heat and mobility a large amount of high-power devices is added to the distribution system level. Their so far assumed power behavior is expected to change in case of an active participation in emerging power flexibility markets. Thus, conventional grid planning approaches, that use simultaneity factors and determined power values, incompletely map the utilization potentials of the grids utilities due to the new active and reactive power flexibilities. To derive possibly needed grid reinforcement measures, knowledge about the occurring grid operational constraints is required. One approach to enable system operators to use these flexibilities in the context of vertical system level cooperation is the aggregation of power flexibilities at the vertical interconnection as a feasible operation region (FOR). This paper focusses on the comparison of methods, that emerged from the adaption of a particle swarm optimization (PSO) algorithm, which aims on identifying the FOR but also the grid operation constraints, i.e. voltage band, thermal line currents and transformer rating, in the active and reactive power plane. This is done to improve the integration of new devices in the planning process towards active distribution grids by comprehensively identifying constraining limits. As an exemplary case-study a generic low-voltage network with simple string topology is used. Results show, that post-processing data driven methods are significantly faster in regards to computation time, but need significantly higher data storage in contrast to an additional sampling strategy with the PSO algorithm. As key factor, the PSO algorithm only finds solutions that comply with the grid operational constraints, whereas the data driven approaches can over and underestimate the resulting polygonal area. The main contribution of this paper is the methodological comparison of PSO based approaches towards an improved system planning process of active distribution grids.

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KW - Active Distribution Grid Planning

KW - Feasible Operation Region

KW - Method Comparison

KW - Particle Swarm optimization

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 21 November 2023 through 24 November 2023

ER -

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