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      Rural electrification: An overview of optimization methods

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      Embargo Lift Date: 2023-12-23
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      Author(s)
      Akbas, B.
      Kocaman, Ayşe Selin
      Trotter, P. A.
      Nock, D.
      Date
      2021-12-23
      Source Title
      Renewable and Sustainable Energy Reviews
      Print ISSN
      1364-0321
      Electronic ISSN
      1879-0690
      Publisher
      Elsevier Ltd
      Volume
      156
      Pages
      111935- 1 - 111935- 21
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      In order to provide “affordable, reliable, sustainable and modern energy for all” by 2030 under Sustainable Development Goal 7 (SDG7), rural electrification needs significant progress as the majority of people without access to electricity reside in rural areas. Optimization methods can play a critical role in this progress, providing an analytical framework to achieve a variety of economic, social, and environmental objectives subject to budget, resources, local demographics and other constraints. This review paper presents the first overview of optimization-based solution methodologies developed or applied for rural electrification. Based on our review, we first propose four archetype problems for rural electrification, namely (i) optimal system configuration and unit sizing, (ii) optimal power dispatch strategy, (iii) optimal technology choice, and (iv) optimal network design. We discuss each problem type, and provide a systematic classification based on the problem objective, proposed solution methodology, components, scale, region as well as their relationship to the different SDG7 components. We reveal research gaps and open questions for future studies for energy researchers and aim to draw the attention of the optimization community to the challenging and unique problems that need urgent attention in this critical area.
      Keywords
      Optimization
      Rural electrification
      SDG
      Mathematical modeling
      Heuristic
      Metaheuristic
      Permalink
      http://hdl.handle.net/11693/111368
      Published Version (Please cite this version)
      https://doi.org/10.1016/j.rser.2021.111935
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