TY  - Data
T1  - Distribution Network Topology Reconfiguration for Adversarial Scenario Generation Simulation Dataset
A1  - yu wen wu
DO  - 10.12072/ncdc.db7489.2026
PY  - 2026
DA  - 2026-07-09
PB  - National Cryosphere Desert Data Center
AB  - This dataset addresses critical-load survival in distribution systems under sequential extreme events. Based on a 7-bus test system and the IEEE 123-bus distribution system, it provides multidimensional time-series scenarios including load demand, distributed generation outputs from photovoltaic and wind power, and line damage states. Combined with remote control switch actions, power-flow calculation, microgrid operational constraints, and reward evaluation, the dataset supports training and evaluation of topology reconfiguration policies using adversarial scenario generation network enhanced distributionally robust deep reinforcement learning. It can be used for distribution-system resilience defense, critical-load survival, extreme-event scenario generation, reinforcement-learning training, and comparative algorithm studies.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/7b8aeda7-17fc-46e4-b2fd-d8838b57d18a
ER  -