Power System Planning Coursework

Github repository for the Power System Planning Final Project

Instructions

• Folder Data contains the used data for the model. All the values used are obtained from the references presented in the References section.
• The model is present in the file PSP_CW.jl. This file requires the following Julia packages to run:

  JuMP, DataFrames, PlotlyJS, CSV, XLSX, Statistics, DataStructures, Dates, Gurobi

• Furthermore, additional files for auxiliary functions are provided. Data_Functions.jl have functions to read the data and prepare it for the optimisation model, and mycolorscheme.jl defines a new colour palette for the plots. These files require the following packages:

  Colors, ColorSchemes

• Results of the problem are saved in the folder Results. The output is one Excel file per scenario, with a generation sheet, installed capacity sheet and emissions sheet.

References

• NREL (National Renewable Energy Laboratory). 2023. "2023 Annual Technology Baseline." Golden, CO: National Renewable Energy Laboratory. https://atb.nrel.gov/.
• Renewables Ninja. 2023. Wind and Solar Data for United Kingdom and Spain. https://www.renewables.ninja/
• Energy Institute based on S&P Global Platts - Statistical Review of World Energy (2023) – with major processing by Our World in Data. “Coal” [dataset]. Energy Institute, “Statistical Review of World Energy” [original data].
• Energy Institute based on S&P Global Platts - Statistical Review of World Energy (2023) – with major processing by Our World in Data. “Gas price” [dataset]. Energy Institute, “Statistical Review of World Energy” [original data].
• National Grid ESO. 2024. "FES 2023 Data workbook". https://www.nationalgrideso.com/document/283061/download.
• European Commission. 2023. "EU energy statistical pocketbook and country datasheets". https://energy.ec.europa.eu/data-and-analysis/eu-energy-statistical-pocketbook-and-country-datasheets_en