TY - GEN
T1 - Assessing Distribution Network Flexibility via Reliability-Based P-Q Area Segmentation
AU - Churkin, Andrey
AU - Kong, Wangwei
AU - Melchor Gutierrez, Jose N.
AU - Mancarella, Pierluigi
AU - Martínez Cesena, Eduardo A.
N1 - Funding Information:
This work was carried out as a part of the ATTEST project (the Horizon 2020 research and innovation programme, grant agreement No 864298).
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper proposes a framework to assess the flexibility of active distribution networks (ADNs) via P-Q area segmentation, considering the reliability of flexible units (FUs). A mixed-integer quadratically constrained programming (MIQCP) model is formulated to analyse flexible active and reactive power support at the interface with transmission networks, explicitly capturing the contributions and reliability of FUs that provide flexibility services within an ADN. The numerical simulations performed for a real 124-bus UK distribution network demonstrate the optimal flexibility provision by different FUs, as well as the corresponding reliability and the impact of network reconfiguration. Distribution system operators (DSOs) can use the proposed framework to identify critical units, select an adequate combination of flexibility volumes, and manage its reliability.
AB - This paper proposes a framework to assess the flexibility of active distribution networks (ADNs) via P-Q area segmentation, considering the reliability of flexible units (FUs). A mixed-integer quadratically constrained programming (MIQCP) model is formulated to analyse flexible active and reactive power support at the interface with transmission networks, explicitly capturing the contributions and reliability of FUs that provide flexibility services within an ADN. The numerical simulations performed for a real 124-bus UK distribution network demonstrate the optimal flexibility provision by different FUs, as well as the corresponding reliability and the impact of network reconfiguration. Distribution system operators (DSOs) can use the proposed framework to identify critical units, select an adequate combination of flexibility volumes, and manage its reliability.
KW - Active distribution network
KW - combinatorial optimisation
KW - flexibility services
KW - reliability
KW - TSO-DSO coordination
UR - http://www.scopus.com/inward/record.url?scp=85169471363&partnerID=8YFLogxK
U2 - 10.1109/PowerTech55446.2023.10202940
DO - 10.1109/PowerTech55446.2023.10202940
M3 - Conference contribution
AN - SCOPUS:85169471363
T3 - 2023 IEEE Belgrade PowerTech, PowerTech 2023
BT - 2023 IEEE Belgrade PowerTech, PowerTech 2023
PB - IEEE
T2 - 2023 IEEE Belgrade PowerTech, PowerTech 2023
Y2 - 25 June 2023 through 29 June 2023
ER -