Cost allocation for cross-border transmission lines in the BBIN sub-region using Game theory
| dc.contributor.author | Gyanwali, Khem | |
| dc.contributor.author | Gautam, Ayshuma | |
| dc.date.accessioned | 2026-09-22T11:32:01Z | |
| dc.date.issued | 2024-12-30 | |
| dc.description | Journal: Journal of Innovations in Engineering Education (JIEE), ISSN 2594-343X (print), 2773-823X (online) Volume/Issue: Vol. 7, Issue 1 (2024), pages 138-143 Article type: Research Article Published: 2024-12-30 DOI: https://doi.org/10.3126/jiee.v7i1.73313 Authors and affiliations: - Khem Gyanwali (Department of Automobile and Mechanical Engineering, Thapathali Campus, Institute of Engineering, Tribhuvan University, Thapathali GPO Box 280, Kathmandu, Nepal) - Ayshuma Gautam (Department of Automobile and Mechanical Engineering, Thapathali Campus, Institute of Engineering, Tribhuvan University, Thapathali, Kathmandu, Nepal) TCIOE department(s): Department of Automobile and Mechanical Engineering Publisher: Thapathali Campus, Institute of Engineering, Tribhuvan University License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), https://creativecommons.org/licenses/by-nc-nd/4.0/ Journal website: https://journal.tcioe.edu.np/articles/d555402e-0782-4307-b9cc-522e657e83a5 NepJOL: https://www.nepjol.info/index.php/jiee/article/view/73313 | |
| dc.description.abstract | The BBIN sub-region - Bangladesh, Bhutan, India, and Nepal - are witnessing a significant surge in electricity demand, accompanied by an uneven distribution of resources and consumption patterns across the region. Optimizing the unevenly distributed energy resources through a harmonized generation mix, tailored to the distinct load patterns and demands of individual nations, creates opportunities for enhanced electricity trade through multilateral cooperation. To facilitate this, the region has been conceptualized into four nodes connected by five interconnections: Bangladesh-Bhutan, Bangladesh-India, Bangladesh-Nepal, Bhutan-India, and India. While electricity trade has existed historically, a systematic approach to allocating the costs of cross-border transmission infrastructure has not been adopted. This study quantifies the benefits of regional electricity trade and proposes cost-sharing mechanisms using methodologies rooted in Game Theory, particularly the Shapley Value, alongside cooperative game theory, to ensure equitable cost distribution. A dynamic optimal power generation mix model reveals that the grand coalition - where all nations cooperate - is the most efficient configuration. In this scenario, India incurs the highest transmission line cost, reflective of its substantial size and electricity demand. | |
| dc.format.extent | pp. 138-143 | |
| dc.identifier.citation | Gyanwali, K., & Gautam, A. (2024). Cost allocation for cross-border transmission lines in the BBIN sub-region using Game theory. Journal of Innovations in Engineering Education, 7(1), 138-143. https://doi.org/10.3126/jiee.v7i1.73313 | |
| dc.identifier.doi | 10.3126/jiee.v7i1.73313 | |
| dc.identifier.issn | 2594-343X | |
| dc.identifier.issn | 2773-823X | |
| dc.identifier.uri | https://elibrary.tcioe.edu.np/handle/123456789/307 | |
| dc.language.iso | en | |
| dc.publisher | Thapathali Campus, Institute of Engineering, Tribhuvan University | |
| dc.relation.ispartofseries | Journal of Innovations in Engineering Education;Vol. 7, Issue 1 (2024) | |
| dc.relation.uri | https://doi.org/10.3126/jiee.v7i1.73313 | |
| dc.relation.uri | https://www.nepjol.info/index.php/jiee/article/view/73313 | |
| dc.relation.uri | https://journal.tcioe.edu.np/articles/d555402e-0782-4307-b9cc-522e657e83a5 | |
| dc.rights | Copyright (c) 2024 JIEE and the authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Journal of Innovations in Engineering Education, Vol. 7, Issue 1 (2024), pp. 138-143 | |
| dc.subject | Electricity trade | |
| dc.subject | Energy model | |
| dc.subject | Cross-border power trade | |
| dc.subject | Cost allocation | |
| dc.subject | Game theory | |
| dc.subject | Shapely value | |
| dc.subject | JIEE | |
| dc.subject | Journal of Innovations in Engineering Education | |
| dc.subject | JIEE 2024 | |
| dc.subject | JIEE Volume 7 | |
| dc.subject | Research Article | |
| dc.subject | Thapathali Campus | |
| dc.subject | TCIOE | |
| dc.subject | Institute of Engineering | |
| dc.subject | IOE | |
| dc.subject | Tribhuvan University | |
| dc.subject | Nepal | |
| dc.subject | engineering research Nepal | |
| dc.subject | peer-reviewed journal article | |
| dc.subject | open access | |
| dc.subject | Department of Automobile and Mechanical Engineering | |
| dc.title | Cost allocation for cross-border transmission lines in the BBIN sub-region using Game theory | |
| dc.type | Article |
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