Projects:2020s1-2510 Energy Storage Requirements for the SA Grid

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Team Member

  • Kyle Piper

Supervisors

  • Dr. Andrew Allison
  • Mr. David Vowles

Overview

SA obtains approximately 45% of its electrical energy from renewable sources – large scale wind and small scale solar PV. To reliably integrate these intermittent sources into the grid will increasingly require energy storage in a variety of forms such as pumped-hydro and batteries together with virtual energy storage in the form of demand side management. The storage requirement will progressively increase as controllable fossil fuel generation sources are withdrawn from the system. The objective of this project is to develop tools to assess the energy storage requirements to ensure reliable supply with high levels of intermittent generation. This project commenced in 2017 and the two honours students involved did a very fine job in achieving several early objectives.

Introduction

Motivation

As the world, Australia, and South Australia inherently moves away from controllable generation such as coal and gas towards renewable energy sources in the forms of Solar PV, Wind, Geothermal, Hydro, etc. it is of paramount importance that we are able to make this transition as smooth as possible. This involves ensuring that excess generated renewable energy can be stored, in the forms of primarily batteries and other methods such as pumped hydro. Storage of this renewable energy is a large primary step towards reducing coal and gas generation. As storage increases and coal/gas generation decreases, more renewable sources can be brought into the power system. This allows us to slowly change the proportion for controllable generation (coal/gas) and intermittent sources (renewable energy) until the eventual scenario in which controllable is no longer present and we run 100% renewable. There however are inherent problems with large amounts of intermittent sources on the power system and these are to be explored and hopefully resolved throughout this project.

Objectives

(1) Serve the time-series data via the web so that it can be analysed and graphically displayed in various ways online.

(2) Extend the data analysis and graphical display toolbox to allow the user to rapidly identify and display interesting features and periods within the data.

(3) Extend the storage optimization approaches to consider alternative optimization objectives and future scenarios.

(4) To estimate storage requirements for Australia as a whole assuming a hypothetical 100% renewable scenario and hypothetical interconnected Australia.

Background