Data supporting the article “Adaptive Robust Optimization Models for DER Planning in Distribution Networks under Long- and Short-Term Uncertainties”

This dataset contains the input data used in the computational experiments of the article “Adaptive Robust Optimization Models for DER Planning in Distribution Networks under Long- and Short-Term Uncertainties.” The file Data_Input.xlsx contains technical and operational parameters needed to reproduce the case study using a modified IEEE 33-bus distribution network. The dataset is structured into the following sheets: Buses: Bus-level technical data, including active and reactive load (PL, QL), voltage limits (Vmax, Vmin), substation generation limits (PG_max_SUB, Qmin, Qmax), and reference bus information. Lines: Electrical parameters of distribution lines, including resistance (r), reactance (x), thermal limits (Smax), and network topology connections (fbus, tbus). Smax_linearization: Coefficients (AA, BB, CC) used for the linearized apparent power flow constraints in the second-order cone relaxation. Profiles: Hourly operational data, including: Maximum PV generation profiles, Electricity price time series, Hourly active power demand for buses 1–33. PV_PL_Deviation: Deviation parameters used to construct the budgeted uncertainty sets (BoU) for photovoltaic generation and load demand. These values define the admissible deviations around expected values in the robust formulations. Adj_Matrix: Adjacency matrix representing the network topology of the 33-bus distribution system.