A chance-constrained programming approach to modelling hydro-thermal electricity generation in Papua-New Guinea

A chance-constrained programming approach to modelling hydro-thermal electricity generation in Papua-New Guinea

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Article ID: iaor20003531
Country: Singapore
Volume: 13
Issue: 2
Start Page Number: 105
End Page Number: 114
Publication Date: Nov 1996
Journal: Asia-Pacific Journal of Operational Research
Authors: ,
Keywords: planning, programming: probabilistic, developing countries
Abstract:

This paper is a contribution to the current debate on energy efficiency. It presents a stochastic optimisation model which has been applied to an existing hydro-thermal electricity generation planning problem in Port Moresby, Papua New Guinea. The model accounts explicitly for the uncertainty and seasonal variation inherent in hydro-thermal electricity demand and supply. Policy implications drawn from the application of the model are discussed.

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