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
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.
引用
收藏
页码:85 / 89
页数:5
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