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Power distribution in developing countries — Planning for effectiveness and equity

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  • Sarid, Adi S.
  • Glynn, Peter W.
  • Tzur, Michal

Abstract

Power grid expansion planning is a challenging problem that typically considers the facility location, sizing, and transmission line upgrade aspects, with the objective of minimizing the upgrade and operational costs. The consideration of fairness and equity between the populations being served by the power grid has not been addressed previously in the literature. These issues are of special interest regarding the power grid infrastructure in developing countries, where certain populations might be “last in line” to be connected to the grid. In this paper, we develop a power grid expansion optimization model that considers both effectiveness and equity, given a budget constraint on upgrade expenditure. Effectiveness is measured by the deprivation costs of all populations served by the power grid, while equity is measured by their Gini mean absolute difference. Node upgrade rules are applied, and the upgrade plan is provided over a given planning horizon.

Suggested Citation

  • Sarid, Adi S. & Glynn, Peter W. & Tzur, Michal, 2024. "Power distribution in developing countries — Planning for effectiveness and equity," Omega, Elsevier, vol. 123(C).
    • Handle: RePEc:eee:jomega:v:123:y:2024:i:c:s0305048323001408
    DOI: 10.1016/j.omega.2023.102976
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    References listed on IDEAS

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    1. David Pisinger & Stefan Ropke, 2010. "Large Neighborhood Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 399-419, Springer.
    2. Mahdi Mostajabdaveh & Walter J. Gutjahr & F. Sibel Salman, 2019. "Inequity-averse shelter location for disaster preparedness," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 809-829, August.
    3. Ohad Eisenhandler & Michal Tzur, 2019. "The Humanitarian Pickup and Distribution Problem," Operations Research, INFORMS, vol. 67(1), pages 10-32, January.
    4. Gutjahr, Walter J. & Fischer, Sophie, 2018. "Equity and deprivation costs in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 270(1), pages 185-197.
    5. Liévanos, Raoul S. & Horne, Christine, 2017. "Unequal resilience: The duration of electricity outages," Energy Policy, Elsevier, vol. 108(C), pages 201-211.
    6. Sarid, A. & Tzur, M., 2018. "The multi-scale generation and transmission expansion model," Energy, Elsevier, vol. 148(C), pages 977-991.
    7. Cantillo, Victor & Serrano, Iván & Macea, Luis F. & Holguín-Veras, José, 2018. "Discrete choice approach for assessing deprivation cost in humanitarian relief operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 33-46.
    8. Karsu, Özlem & Morton, Alec, 2015. "Inequity averse optimization in operational research," European Journal of Operational Research, Elsevier, vol. 245(2), pages 343-359.
    9. Ghaddar, Bissan & Jabr, Rabih A., 2019. "Power transmission network expansion planning: A semidefinite programming branch-and-bound approach," European Journal of Operational Research, Elsevier, vol. 274(3), pages 837-844.
    10. Li, Longxi, 2021. "Coordination between smart distribution networks and multi-microgrids considering demand side management: A trilevel framework," Omega, Elsevier, vol. 102(C).
    11. Dönmez, Zehranaz & Kara, Bahar Y. & Karsu, Özlem & Saldanha-da-Gama, Francisco, 2021. "Humanitarian facility location under uncertainty: Critical review and future prospects," Omega, Elsevier, vol. 102(C).
    12. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2020. "Cost minimization of large-scale infrastructure for electricity generation and transmission," Omega, Elsevier, vol. 96(C).
    13. Noham, Reut & Tzur, Michal, 2018. "Designing humanitarian supply chains by incorporating actual post-disaster decisions," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1064-1077.
    14. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    15. Paul Bergey & Cliff Ragsdale & Mangesh Hoskote, 2003. "A Simulated Annealing Genetic Algorithm for the Electrical Power Districting Problem," Annals of Operations Research, Springer, vol. 121(1), pages 33-55, July.
    16. Guo, Qiaozhen & He, Qiao-Chu & Chen, Ying-Ju & Huang, Wei, 2021. "Poverty mitigation via solar panel adoption: Smart contracts and targeted subsidy design," Omega, Elsevier, vol. 102(C).
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