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Two-fold Strategy towards Sustainable Renewable Energy Networks when Uncertainty is Certain

Garg, Ankita; Singh, Amritpal; Singh Aujla, Gagangeet; Sun, Hongjian

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Authors

Profile image of Ankita Garg

Ankita Garg ankita.garg@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

With renewable energy sources (RESs) integrated into modern power systems, energy consumers participate in the energy market making the entire network more complex and uncertain. Therefore, adaptive strategies are needed to address the various uncertainties associated with the energy network to maintain reliability and achieve sustainability. In this research paper, we propose an integrated twofold approach that combines competitive market mechanisms with cooperative strategies to enhance reliability and resilience in distribution networks under uncertainty. In the normal operational stage, we adopt a competitive approach wherein an optimal price is determined to meet the required consumer demand, facilitating energy sharing among areas and minimising reliance on the grid, thereby reducing carbon emissions associated with conventional energy generation. To detect and identify an uncertain event within the network, a heuristic algorithm is proposed, which determines the hidden inter-dependencies among the different network input parameters. Finally, to mitigate the impact of these identified uncertainties, we introduce a cooperative approach wherein all areas leverage the battery storage facilities to ensure continuity of energy supply and minimise overall losses. During an uncertain event, a maximum reduction of 97% is observed in the carbon footprints for the proposed scheme while maintaining the overall profit.

Citation

Garg, A., Singh, A., Singh Aujla, G., & Sun, H. (online). Two-fold Strategy towards Sustainable Renewable Energy Networks when Uncertainty is Certain. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/TCE.2024.3475581

Journal Article Type Article
Acceptance Date Sep 30, 2024
Online Publication Date Oct 7, 2024
Deposit Date Oct 2, 2024
Publicly Available Date Oct 16, 2024
Journal IEEE Transactions on Consumer Electronics
Print ISSN 0098-3063
Electronic ISSN 1558-4127
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/TCE.2024.3475581
Keywords Bayesian analysis; cooperative strategy; distribution networks; reliability; renewable energy; sustainability
Public URL https://durham-repository.worktribe.com/output/2943054
Publisher URL https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=30

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