Distributionally robust optimization based chance-constrained energy management for hybrid energy powered cellular networks

PurposeDisruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.Design/methodology/approachThis paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.FindingsThe results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.Originality/valueSince the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.

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Energy Resilience in Telecommunication Networks: A Comprehensive Review of Strategies and Challenges

Cabrera-Tobar,

Grimaccia,

Leva

2023

Energies

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As telecommunication networks become increasingly critical for societal functioning, ensuring their resilience in the face of energy disruptions is paramount. This review paper comprehensively analyzes strategies and challenges associated with achieving energy resilience in telecommunication networks. It explores various aspects, including policies, energy backup systems, renewable energy integration, and energy management techniques. This paper discusses how these strategies can be implemented to build resilience across three phases: preparedness (referring to the proactive measures taken in advance), response and relief, recovery and reconstruction. Additionally, it discusses the challenges associated with implementing energy resilience measures, taking into account policies, sustainability and environment, and climate change. By synthesizing existing research and identifying research gaps, this review paper aims to provide insights into the state-of-the-art practices and future directions for enhancing energy resilience in telecommunications, enabling robust and uninterrupted communication services.

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Distributionally robust optimization based chance-constrained energy management for hybrid energy powered cellular networks

Cited by 3 publications

References 32 publications

A survey on semantic communications: Technologies, solutions, applications and challenges

A survey on semantic communications: Technologies, solutions, applications and challenges

Ship coping strategies for hurricane-induced port disruptions

Energy Resilience in Telecommunication Networks: A Comprehensive Review of Strategies and Challenges

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