Optimisation of energy storage

The use of renewable energy sources such as wind and solar has been increasing to combat greenhouse gas emissions.

However, it faces a problem with intermittency where it is unable to provide consistent energy. The goals for the project are to provide optimised storage to combat intermittency and a possible solution that minimises the controllable generation capacity for a given amount of energy storage in a simple supply-demand model of the South Australian grid. Energy storage such as pumped hydro and electric storage systems are used to solve intermittency. Genetic algorithms from last year were also used to achieve the second goal of finding optimal solution. This is a continuing project. Several simulations of test cases were done to provide multiple scenarios of power demand and supply from different energy sources. The simulations so far have increased performance and presented solutions of high accuracy.

Theme
Future energy and resources

Booth
FE64

School
Electrical and Electronic Engineering

Exhibitors
Sean Chris Fernandes
Isaiah Turner

vote for this project: FE64

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