Conference paper
A hybrid optimisation method of managing uncertainty in capacity expansion planning
14th International Conference on Principles and Practice of Constraint Programming (Sydney, 14/09/2008–18/09/2008)
2008
Abstract
This paper addresses the application of a new fuzzy robust optimisation model in a capacity planning problem with uncertainties in demand and resource constraints. Fuzzy robust optimisation model employs robust optimisation formulation and fuzzy programming to deal with these uncertain variables. A power system capacity expansion plan is used as a case study to test the applicability of the proposed model. The results of this case study show the advantages of the proposed method compared to classical stochastic programming.
Details
- Title
- A hybrid optimisation method of managing uncertainty in capacity expansion planning
- Authors/Creators
- S. Moayer (Author/Creator)P.A. Bahri (Author/Creator)
- Conference
- 14th International Conference on Principles and Practice of Constraint Programming (Sydney, 14/09/2008–18/09/2008)
- Identifiers
- 991005541322407891
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Conference paper
- Note
- In: Proceedings of the The Doctoral Programme of the Fourteenth International Conference on Principles and Practice of Constraint Programming, CP 2008, Sydney, Australia, September 14–18, 2008. K. Stergiou and R. Yap (Eds.) pp 48 - 55.
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