TY - UNPB
T1 - Assessing Distribution Network Flexibility via Reliability-based P-Q Area Segmentation
AU - Churkin, Andrey
AU - Kong, Wangwei
AU - Gutierrez, Jose N. Melchor
AU - Mancarella, Pierluigi
AU - Cesena, Eduardo A. Martinez
N1 - Submitted to PSCC 2022, then resubmitted to IEEE PowerTech 2023 conference
PY - 2021/10/3
Y1 - 2021/10/3
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 - eess.SY
KW - cs.SY
M3 - Preprint
BT - Assessing Distribution Network Flexibility via Reliability-based P-Q Area Segmentation
ER -