Code and data for the paper: "Event-informed Identification and Allocation of Distribution Network Planning Candidates with Influence Scores and Binary Linear Programming"

This repository contains datasets and code with a a novel numerical approach aimed at finding a distribution network expansion plan that prevents future congestion and voltage issues. Forecasted duration and intensity of thermal and voltage violation events are used to determine a pool of potential candidates for infrastructure (i.e., line/cable) upgrade, voltage regulator, and energy storage system installations. This is complemented with an algorithm to obtain the minimum-cost list of these candidates that solves all constraint violation events using binary linear programming. This approach is tested using the modified IEEE 33-bus network. Three pools of candidates and three cost projections were considered to explore the method's sensitivity to different scenarios. Further information is available in the description in the description of datasets and scripts.