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Intelligent robust optimisation method for power capacity expansion in Western Australia (WA)
Conference presentation

Intelligent robust optimisation method for power capacity expansion in Western Australia (WA)

S. Moayer and P.A. Bahri
INFORMS Annual Meeting 2008 (Washington DC, 12/10/2008–15/10/2008)
2008
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Abstract

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.

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