AADSCR
Build Thévenin equivalent model
Append and recompute weights
Robust optimal terminal considering power-output uncertainty
Determine satisfaction thresholds based on interquartile range (IQR)
Compute for each scheme
Obtain near-region active-power accommodation-resource data
SSNSF
Compute renewable fluctuation-coupling risk
Compute sending-end for each scheme
Iintra
Obtain sending-end grid topology and equipment parameters
Iinter
Assign each candidate terminal to its electrically nearest cluster
Determine optimal weights via game-theoretic combination weighting
Compute and for each scheme
Construct Vague set for each scheme
Compute for each scheme
Vague-Set Comprehensive Evaluation and Selection
Build full-network augmented equivalent model and compute nodal impedance matrix
DBSCAN-based adaptive clustering
Iinterference
Iwholeness
Compute subjective and objective weights of each indicator
Rk
Obtain candidate DC sending-end terminal schemes
System Modeling and Power Flow
Construct hierarchical Vague scoring function
Robust decision-making and refinement
Obtain near-region energy-resource profile of candidate terminals
Obtain optimal DC sending-end terminal for each cluster
Construct objective membership-degree matrix
Build sending-end target-node set
Compute and for each scheme
Game-Theoretic Combination Weighting and Satisfaction-Threshold Determination
Robust Refinement under Uncertainty
Computation of Siting Indicators
IRRA
Thévenin Equivalent Modeling and Adaptive Clustering
