Dataset for paper: Trade-offs among network investment, reconfiguration, and local flexibility markets in active distribution networks

1. TitleDataset for paper: Trade-offs among network investment, reconfiguration, and local flexibility markets in active distribution networks 2. DescriptionThis dataset provides all the input data required to reproduce the case study and simulations presented in the associated paper. It includes detailed information on network parameters, investment candidates, yearly load and generation profiles, power loss costs, and flexibility service provider (FSP) data, including their bid information. Additional inputs and parameters, such as the selection and characteristics of the representative days, are fully described within the paper itself. All data sources referenced in this dataset are explicitly cited and discussed in the paper. 3. Folder and File Structure - Network_and_Investment_Inputs/ - Network_Parameters_Invesment_Candidates.xlsx – Detailed parameters for all network elements including lines, transformers, buses, switches, load, and generators. Also, economic information about investment candidates (lines and transformers) is included. - Load_and_Generation_Profiles_Inputs/ - Load_Generation_Yearly_Profiles.xlsx – Hourly load (residential & industrial) and generation (PV and Wind) profiles are included. The data related to 2019 is considered in the paper. - Flexibility_Providers_Inputs/ - FSP_Data_and_Bids.xlsx – Flexibility Providers parameters, Flexibility offers price and quantity. - Other_Inputs/ - Power_losses_cost.xlsx – The hourly day-ahead wholesale market prices in Spain are considered (EUR/MWh) for power losses cost. 4. Software Requirements The optimization model was implemented using Python and Gurobi. Excel or compatible software is required to view the input files. 5. Citation If you use this dataset, please cite: [Valarezo et. al.]. (2025). Trade-offs among network investment, reconfiguration, and local flexibility markets in active distribution networks. [Applied Energy]. DOI: [10.5281/zenodo.15301968]