A chance-constrained programming approach to modelling hydro-thermal electricity generation in papua-new guinea

C. S. Nembou; B. A. Murtagh

A chance-constrained programming approach to modelling hydro-thermal electricity generation in papua-new guinea

C. S. Nembou, B. A. Murtagh

Macquarie Graduate School of Management

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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.

Original language	English
Pages (from-to)	105-114
Number of pages	10
Journal	Asia-Pacific Journal of Operational Research
Volume	13
Issue number	2
Publication status	Published - 1996

Keywords

Chance-constrained programming
Hydro-thermal electricity generation

Cite this

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title = "A chance-constrained programming approach to modelling hydro-thermal electricity generation in papua-new guinea",

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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AU - Nembou, C. S.

AU - Murtagh, B. A.

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N2 - 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.

AB - 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.

KW - Chance-constrained programming

KW - Hydro-thermal electricity generation

UR - https://www.scopus.com/pages/publications/8644240320

M3 - Article

AN - SCOPUS:8644240320

SN - 0217-5959

VL - 13

SP - 105

EP - 114

JO - Asia-Pacific Journal of Operational Research

JF - Asia-Pacific Journal of Operational Research

IS - 2

ER -

A chance-constrained programming approach to modelling hydro-thermal electricity generation in papua-new guinea

Abstract

Keywords

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