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Solution Methods for Optimal Energy System Planning with Renewable and Non-Renewable Generation

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posted on 08.06.2020, 03:53 by Semini Danusha Kumari Wijekoon
Energy system planning addresses the need for new capacities in generation and transmission facilities. Although this problem has been solved sufficiently well in the past, with the transition towards renewable energy-based generation, the necessity to incorporate operational flexibility has increased the computational resources required to solve this problem. Therefore, this thesis presents computationally efficient solution methods to enable operational flexibility in the planning context by proposing a decomposition framework to decompose the problem, and several other algorithms: grouping and branching to improve the performance of the framework, and adaptive time resolution approach to mitigate the requirement for high temporal resolution.


Campus location


Principal supervisor

Ariel Liebman

Additional supervisor 1

Simon Dunstall

Additional supervisor 2

Aldeida Aleti

Year of Award


Department, School or Centre

Caulfield School of IT

Additional Institution or Organisation

Data 61, CSIRO


Doctor of Philosophy

Degree Type