Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 58th International Universities Power Engineering Conference, UPEC 2023 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9798350316834 |
| ISBN (Print) | 979-8-3503-1684-1 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 58th International Universities Power Engineering Conference, UPEC 2023 - Dublin, Irland Dauer: 30 Aug. 2023 → 1 Sept. 2023 |
Publikationsreihe
| Name | International Universities Power Engineering Conference |
|---|
Abstract
Active distribution networks (ADNs) are increasingly assuming an important role in future power system operations. Due to incremental phasing out of thermal power plants, a shift of ancillary services provision from the renewables is underway. Therefore, increased focus on the renewable rich distribution grid level is of prime importance. Active and reactive power flexibility (PQ-flexibility) quantification from the underlying distribution grid at the vertical interconnection to the overlaying grid is a topic of current research. A two dimensional PQ-flexibility map at the vertical interconnection serves as a basis for flexibility provision between grid operators. A terminology adapted in current research is the Feasible Operating Region (FOR) of the underlying distribution grid. The task of flexibility aggregation is further complicated when renewable power injection uncertainties are considered. The two dimensional PQ-flexibility map or FOR requires adjustments considering the probable generation scenarios. Therefore, a reliability parameterized flexibility aggregation segregated into confidence intervals is practical. The undertaken study adapts a method for generating spatially correlated renewable generation uncertainties from wind power plants (WPP) and photovoltaic generation. A corresponding statistical analysis is performed for a reliability parameterisation of the PQ-fexibility seggregated into confidence intervals. Subsequently, a FOR determination adhering to the determined confidence intervals is proposed. Results present multiple reliability parameterized two dimensional PQ-flexibility maps, classified according to the confidence intervals.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Artificial intelligence
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Energie (insg.)
- Erneuerbare Energien, Nachhaltigkeit und Umwelt
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Mathematik (insg.)
- Modellierung und Simulation
Ziele für nachhaltige Entwicklung
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58th International Universities Power Engineering Conference, UPEC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (International Universities Power Engineering Conference).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Reliability Parameterised Distribution Grid Flexibility Aggregation Considering Renewable Uncertainties
AU - Majumdar, Neelotpal
AU - Kengkat, Prapatsara
AU - Yermekbayev, Rauan
AU - Hofmann, Lutz
N1 - Funding Information: The study performed under the research project ”SiNED - System Services for secure electricity grids in times of advancing energy transition and digital transformation” acknowledges the support of the Lower Saxony Ministry of Science and Culture through the ”Niedersächsisches Vorab” grant program (grant ZN3563) and of the Energy Research Centre of Lower Saxony.”
PY - 2023
Y1 - 2023
N2 - Active distribution networks (ADNs) are increasingly assuming an important role in future power system operations. Due to incremental phasing out of thermal power plants, a shift of ancillary services provision from the renewables is underway. Therefore, increased focus on the renewable rich distribution grid level is of prime importance. Active and reactive power flexibility (PQ-flexibility) quantification from the underlying distribution grid at the vertical interconnection to the overlaying grid is a topic of current research. A two dimensional PQ-flexibility map at the vertical interconnection serves as a basis for flexibility provision between grid operators. A terminology adapted in current research is the Feasible Operating Region (FOR) of the underlying distribution grid. The task of flexibility aggregation is further complicated when renewable power injection uncertainties are considered. The two dimensional PQ-flexibility map or FOR requires adjustments considering the probable generation scenarios. Therefore, a reliability parameterized flexibility aggregation segregated into confidence intervals is practical. The undertaken study adapts a method for generating spatially correlated renewable generation uncertainties from wind power plants (WPP) and photovoltaic generation. A corresponding statistical analysis is performed for a reliability parameterisation of the PQ-fexibility seggregated into confidence intervals. Subsequently, a FOR determination adhering to the determined confidence intervals is proposed. Results present multiple reliability parameterized two dimensional PQ-flexibility maps, classified according to the confidence intervals.
AB - Active distribution networks (ADNs) are increasingly assuming an important role in future power system operations. Due to incremental phasing out of thermal power plants, a shift of ancillary services provision from the renewables is underway. Therefore, increased focus on the renewable rich distribution grid level is of prime importance. Active and reactive power flexibility (PQ-flexibility) quantification from the underlying distribution grid at the vertical interconnection to the overlaying grid is a topic of current research. A two dimensional PQ-flexibility map at the vertical interconnection serves as a basis for flexibility provision between grid operators. A terminology adapted in current research is the Feasible Operating Region (FOR) of the underlying distribution grid. The task of flexibility aggregation is further complicated when renewable power injection uncertainties are considered. The two dimensional PQ-flexibility map or FOR requires adjustments considering the probable generation scenarios. Therefore, a reliability parameterized flexibility aggregation segregated into confidence intervals is practical. The undertaken study adapts a method for generating spatially correlated renewable generation uncertainties from wind power plants (WPP) and photovoltaic generation. A corresponding statistical analysis is performed for a reliability parameterisation of the PQ-fexibility seggregated into confidence intervals. Subsequently, a FOR determination adhering to the determined confidence intervals is proposed. Results present multiple reliability parameterized two dimensional PQ-flexibility maps, classified according to the confidence intervals.
KW - Active distribution networks
KW - ancillary services
KW - confidence intervals
KW - flexibility aggregation
KW - PQ-flexibility
KW - spatially correlated
KW - uncertainties
UR - http://www.scopus.com/inward/record.url?scp=85178136379&partnerID=8YFLogxK
U2 - 10.1109/UPEC57427.2023.10294524
DO - 10.1109/UPEC57427.2023.10294524
M3 - Conference contribution
AN - SCOPUS:85178136379
SN - 979-8-3503-1684-1
T3 - International Universities Power Engineering Conference
BT - 58th International Universities Power Engineering Conference, UPEC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th International Universities Power Engineering Conference, UPEC 2023
Y2 - 30 August 2023 through 1 September 2023
ER -