Intelligent robust optimisation method for power capacity expansion in Western Australia (WA)
The aim of this study is to identify an optimised capacity expansion plan for W A's electricity system that meets its future demand and also reduces the Greenhouse gas emission. The proposed framework develops a scenario generator by using Artificial Neural Networks (ANNs) and fuzzy logic. Then, an optimisation method called "intelligent robust optimisation" finds a robust investment option based on different WA's future scenarios. The results of case studies show the robust expansion plan for W A based on the future growth in demand and considering other constraints forced by government.
|Publication Type:||Conference Item|
|Murdoch Affiliation:||School of Engineering and Energy|
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