Projects:2019s1-140 Energy Storage Requirements for the SA Grid
Contents
Team Members
- Isaiah Turner
- Sean Fernandes
Supervisors
- Derek Abbott
- David Vowles
Supervisors
- Angus Simpson
Abstract
South Australia is changing from the way energy is generated and used to satisfy the environment and economic development. However the problem with renewable energy is it's intermittent. The renewable energy generated is dependent on nature while coal energy isn't dependent and can be controlled to be supplied 24/7 without any issue. This raises issues on unreserved energy and renewable energy reliability to the SA grid.
The demand-supply model from 2018 is used to continue aiming at the original goal which is to reduce the maximum reserve generation capacity and increase the renewable energy intake. This model could be expanded upon.
Genetic Algorithms will be used to solve the energy usage by finding optimal solutions. This algorithm incorporates natural selection where it chooses the survival of the fittest. It is used to reduce the controllable generation in favor of more renewable usage. This was applied in the 2018 iteration of the project where they did several benchmark cases of various scenarios related to the supply and demand model using MATLAB. However the results had problems. This year will be used to improve their 2018 genetic algorithm code to satisfy the model and fitness result. MATLAB is used once again for this year.
Other objectives for this year project include measuring performance, forecasting and using AEMO real data that wasn't used 2018.
