Conference proceeding
Multi-Stage Stochastic Electrification Planning under Demand Uncertainty
2022 IEEE PES/IAS POWERAFRICA CONFERENCE, pp.85-89
01/01/2022
DOI: 10.1109/PowerAfrica53997.2022.9905247
Abstract
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.
Details
- Title: Subtitle
- Multi-Stage Stochastic Electrification Planning under Demand Uncertainty
- Creators
- Yuang Chen - Georgia Institute of TechnologyBeste Basciftci - University of IowaValerie M. Thomas - Georgia Institute of Technology
- Resource Type
- Conference proceeding
- Publication Details
- 2022 IEEE PES/IAS POWERAFRICA CONFERENCE, pp.85-89
- Publisher
- IEEE
- DOI
- 10.1109/PowerAfrica53997.2022.9905247
- Number of pages
- 5
- Language
- English
- Date published
- 01/01/2022
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380451502771
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