A Distributed Market-Aided Restoration Approach of Multi-Energy Distribution Systems Considering Comprehensive Uncertainties from Typhoon Disaster
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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15
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IEEE Transactions on Smart Grids, Volume 16, issue 5, pp. 3743-3757
Abstract
The increasing deployment of multi-energy distribution systems (MDSs) necessitates the coordinated restoration of power and thermal loads under disasters. Nevertheless, existing research often overlooks the inherent uncertainties of disasters and the potential of market mechanisms, resulting in risks of over-investment and inefficient allocation of flexible resources. Thus, this paper presents a distributed market-aided restoration approach for MDS considering the comprehensive uncertainties from typhoon disasters. First, a stress intensity interference theory combined with a structural fragility model is utilized to characterize the uncertainty of distribution line damage caused by typhoons. Second, a tractable operational model for MDS, incorporating numerous auxiliary variables, is introduced to simplify the constraints of power and thermal networks. Then, a risk-averse two-stage restoration framework is developed to manage comprehensive uncertainties from both line damage and renewable generation. Meanwhile, a Cournot Nash-based joint bidding model of multi-energy microgrids is designed as a market-aided strategy to facilitate the restoration of MDS. Further, a distributed algorithm named alternating search procedure is utilized to protect participants privacy and alleviate the computation burdens. Finally, case studies based on real statistics of the 2024 super typhoon “Yagi” in China validate that the proposed method creates a win-win situation for all stakeholders.Description
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Wang, Z, Hou, H, Wei, R & Li, Z 2025, 'A Distributed Market-Aided Restoration Approach of Multi-Energy Distribution Systems Considering Comprehensive Uncertainties from Typhoon Disaster', IEEE Transactions on Smart Grids, vol. 16, no. 5, 11029621, pp. 3743-3757. https://doi.org/10.1109/TSG.2025.3578484