Enhancing resilience of the smart urban electrical and gas grids considering reserve scheduling and pre-event responses via the onsite supply strategy of the energy storage systems and demand response

Darvish, Seyed Morteza; Derakhshan, Ghasem; Hakimi, Seyed Mehdi

doi:10.1016/j.est.2024.110633

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.110633

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Enhancing resilience of the smart urban electrical and gas grids considering reserve scheduling and pre-event responses via the onsite supply strategy of the energy storage systems and demand response

Seyed Morteza Darvish,

Ghasem Derakhshan,

Seyed Mehdi Hakimi

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Cited by 3 publications

References 61 publications

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Analyzing effective external interventions for optimizing energy hubs with electric and TS: A numerical study from a network topology perspective

Tavangar Rizi,

Nazari,

Hosseinian

et al. 2024

Journal of Energy Storage

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Analyzing effective external interventions for optimizing energy hubs with electric and TS: A numerical study from a network topology perspective

Tavangar Rizi,

Nazari,

Hosseinian

et al. 2024

Journal of Energy Storage

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A two-stage coordinated restoration scheme of hybrid AC/DC distribution grid considering cold load pickup and resilience enhancement

Yu,

Xiao,

Zhang

et al. 2024

Sustainable Cities and Society

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Resilient Operation Strategies for Integrated Power-Gas Systems

Faridpak,

Musilek

2024

Energies

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This article presents a novel methodology for analyzing the resilience of an active distribution system (ADS) integrated with an urban gas network (UGN). It demonstrates that the secure adoption of gas turbines with optimal capacity and allocation can enhance the resilience of the ADS during high-impact, low-probability (HILP) events. A two-level tri-layer resilience problem is formulated to minimize load shedding as the resilience index during post-event outages. The challenge of unpredictability is addressed by an adaptive distributionally robust optimization strategy based on multi-cut Benders decomposition. The uncertainties of HILP events are modeled by different moment-based probability distributions. In this regard, considering the nature of each uncertain variable, a different probabilistic method is utilized. For instance, to account for the influence of power generated from renewable energy sources on the decision-making process, a diurnal version of the long-term short-term memory network is developed to forecast day-ahead weather. In comparison with standard LSTM, the proposed approach reduces the mean absolute error and root mean squared error by approximately 47% and 71% for wind speed, as well as 76% and 77% for solar irradiance network. Finally, the optimal operating framework for improving power grid resilience is validated using the IEEE 33-bus ADS and 7-node UGN.

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Enhancing resilience of the smart urban electrical and gas grids considering reserve scheduling and pre-event responses via the onsite supply strategy of the energy storage systems and demand response

Cited by 3 publications

References 61 publications

Analyzing effective external interventions for optimizing energy hubs with electric and TS: A numerical study from a network topology perspective

Analyzing effective external interventions for optimizing energy hubs with electric and TS: A numerical study from a network topology perspective

A two-stage coordinated restoration scheme of hybrid AC/DC distribution grid considering cold load pickup and resilience enhancement

Resilient Operation Strategies for Integrated Power-Gas Systems

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