Details
| Original language | English |
|---|---|
| Pages (from-to) | 5402-5415 |
| Number of pages | 14 |
| Journal | IEEE Access |
| Volume | 10 |
| Publication status | Published - 6 Jan 2022 |
Abstract
Hierarchical grid control strategies are an appropriate design concept for the coordination of future transmission system operator (TSO) and distribution system operator (DSO) interactions. Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies.
Keywords
- Convergence, Costs, DSO/DSO-Cooperation, Feasible Operation Region, Flexibility Aggregation, Flexibility Market, Load flow, Metadata, Metaheuristics, PQ-Capability, Reactive power, TSO/DSO-Cooperation, Wind turbines, PQ-capability, flexibility aggregation, TSO/DSO-cooperation, flexibility market, feasible operation region
ASJC Scopus subject areas
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: IEEE Access, Vol. 10, 06.01.2022, p. 5402-5415.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Monetarization of the Feasible Operation Region of Active Distribution Grids based on a Cost-Optimal Flexibility Disaggregation
AU - Sarstedt, Marcel
AU - Hofmann, Lutz
PY - 2022/1/6
Y1 - 2022/1/6
N2 - Hierarchical grid control strategies are an appropriate design concept for the coordination of future transmission system operator (TSO) and distribution system operator (DSO) interactions. Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies.
AB - Hierarchical grid control strategies are an appropriate design concept for the coordination of future transmission system operator (TSO) and distribution system operator (DSO) interactions. Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies.
KW - Convergence
KW - Costs
KW - DSO/DSO-Cooperation
KW - Feasible Operation Region
KW - Flexibility Aggregation
KW - Flexibility Market
KW - Load flow
KW - Metadata
KW - Metaheuristics
KW - PQ-Capability
KW - Reactive power
KW - TSO/DSO-Cooperation
KW - Wind turbines
KW - PQ-capability
KW - flexibility aggregation
KW - TSO/DSO-cooperation
KW - flexibility market
KW - feasible operation region
UR - http://www.scopus.com/inward/record.url?scp=85122863961&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3140871
DO - 10.1109/ACCESS.2022.3140871
M3 - Article
VL - 10
SP - 5402
EP - 5415
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -