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Multi-Stage Stochastic Electrification Planning under Demand Uncertainty
被引:0
|作者:
Chen, Yuang
[1
]
Basciftci, Beste
[2
]
Thomas, Valerie M.
[1
]
机构:
[1] Georgia Inst Technol, Ind & Syst Engn, Atlanta, GA 30332 USA
[2] Univ Iowa, Dept Business Analyt, Iowa City, IA USA
来源:
关键词:
Sub-Saharan African countries;
electrification planning;
demand uncertainty;
multi-stage stochastic program;
OPTIMIZATION MODEL;
GENERATION;
D O I:
10.1109/PowerAfrica53997.2022.9905247
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
A novel multi-stage stochastic electrification planning model for Sub-Saharan African countries is developed by involving both centralized and decentralized infrastructure, considering future demand uncertainty. A case study of Rwanda shows that for projected annual demand increase rates ranging from 4% to 7% from 2022 to 2028, a deterministic production planning model costs US$1.94B and can result in 25% underbuilt to 49% overbuilt; a two-stage stochastic model reduces over- and under-build risks and costs an expected US $2.09B; the multistage stochastic electrification model also reduces risks and costs US$1.97, a 6% reduction compared to the two-stage model.
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页码:85 / 89
页数:5
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