Highlights
1. Aim
The purpose of this assignment is to analyse gird electricity demand and price across different states in the Australian National Electricity Market (NEM), and to assess how the daily differential in demand for grid electricity varies within states, between states and over time.
2. Problem description
Shift to renewable electricity in Australia has involved widespread installation of rooftop solar, which has reduced daytime grid electricity demand, and thereby increased the variability in grid demand over the day.
The power supplied by rooftop solar depends on a range of factors, including local variability in weather, regional and seasonal variation in daylength and intensity of solar radiation, differences in solar installation incentives between states and year-on-year increase in rooftop solar available. Changes in battery technology and solar feed-in tariffs (i.e. how much individual households are paid for exporting solar energy to the grid) add to the complexity of predicting grid electricity demand and price.
Variability in demand for grid electricity has important implications for managing the Australian energy network in its current form and the decarbonization of the sector, because high variability in demand poses challenges for managing energy security.
3. Getting started
To start, download a2.zip from Blackboard. Unzip the file and you’ll find the following files:
• a2.py
• QLD.csv, NSW.csv, VIC.csv, TAS.csv and SA.csv
a2.py serves as a starting point for this assignment. You are required to implement your assignment solution entirely within this file. It includes some initial code to help
you get started on the assignment. This is the only file that you will submit for this assignment.
The five files QLD.csv, NSW.csv, VIC.csv, TAS.csv and SA.csv contains half-hourly electricity demand and electricity price 2015-2020 for these states, sourced originally. These five states together constitute the National Electricity Market (NEM): thus the sum of demand across these states is the total NEM demand.
4. Implementation
4.1. main()
The main() function takes no arguments, and it does not return anything. The main() function should call the other functions and print out the results as specified below. In the provided stub for a2.py, the function definition for main has already been provided, and the if name == main : block will ensure that the code in the main function is run when your a2.py file is run. Do not call your main function (or any other functions) outside of this block. In writing your code, apply the principles from the style rubric provided on Blackboard.
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