Research data for "Techno-Economic Planning of Battery Energy Storage for Renewable Hosting Capacity in Active Distribution Networks"

Processed input data and final computational results supporting a techno-economic planning study of battery energy storage for renewable hosting capacity in active medium-voltage distribution networks. The framework jointly optimises battery siting, sizing and annual dispatch with a two-level NSGA-II + linear-programme strategy, depth-of-discharge-dependent rainflow degradation, and backward-forward-sweep AC feasibility, comparing lithium iron phosphate, vanadium redox flow and lead-acid chemistries under three economic scenarios on the MV Oberrhein benchmark (with CIGRE MV for validation). The deposit contains audited network tables, annual demand and meteorological inputs, technology and economic-scenario parameters, the main 45-run campaign(3 chemistries x 3 scenarios x 5 seeds) Pareto fronts and convergence curves, the stress-test, VRFB-efficiency, initial-SoC, PV-forecast, autocorrelation and Latin-Hypercube robustness campaigns, the transformer-boundary check, post-processing tables, the publication figures, and lightweight MATLAB scripts for recreating the data-driven figures and result tables. Per-run MATLAB optimisation workspaces, development archives and checkpoints are excluded.