Resiliency-Driven Multi-Step Critical Load Restoration Strategy Integrating On-Call Electric Vehicle Fleet Management Services

Erenoğlu, Ayşe Kübra; Sancar, Semanur; Terzi, Idil Su; Erdinç, Ozan; Shafie‐khah, Miadreza; Catalào, João P. S.

doi:10.1109/tsg.2022.3155438

Cited by 28 publications

(5 citation statements)

References 29 publications

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“…Transportation Network EV Fleet Scheduling [8] Stochastic [9] Robust [10] Deterministic [11] Stochastic [12] Stochastic [13] Stochastic [14] Stochastic [15] Stochastic [16] Stochastic and Risk Based [17] Risk Based * Stochastic…”

Section: Dynamic Microgrid Formationmentioning

confidence: 99%

Optimal Siting of EV Fleet Charging Station Considering EV Mobility and Microgrid Formation for Enhanced Grid Resilience

Ravi,

Bai,

Wang

2023

Applied Sciences

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Coordinating infrastructure planning for transportation and the power grid is essential for enhanced reliability and resilience during operation and disaster management. This paper presents a two-stage stochastic model to optimize the location of electric vehicle fleet charging stations (FEVCSs) to enhance the resilience of a distribution network. The first stage of this model deals with the decision to place an FEVCS at the most favorable and optimized location, whereas the second stage aims to minimize the weighted sum of the value of lost load in multiple potential scenarios with different faults. Indeed, the second stage is a joint grid restoration scheme with network reconfiguration and microgrid formation using available distributed generators and fleet electric vehicles. The proposed model is tested on a modified IEEE-33 node distribution network and a four-node transportation network. Case studies demonstrate the effectiveness of the proposed model.

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Section: Dynamic Microgrid Formationmentioning

confidence: 99%

Optimal Siting of EV Fleet Charging Station Considering EV Mobility and Microgrid Formation for Enhanced Grid Resilience

Ravi,

Bai,

Wang

2023

Applied Sciences

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“…Those studies took into consideration the actuation of smart devices only. In [13], the system reconfiguration strategy is based on smart devices and external energy sources to supply the critical load of the network. Mixed-integer linear programming runs a stochastic model to create reconfiguration solutions for the network.…”

Section: Overview Of the Smart Grid Strategiesmentioning

confidence: 99%

Integrating Smart Grid Devices into the Traditional Protection of Distribution Networks

et al. 2022

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Smart grids are a reality in distribution systems. They have assisted in the operation, control, and most of all, the protection of urban networks, significantly solving the contingencies of these networks. This paper treats the initial stage of implementing smart grid switching devices in distribution networks. In this stage, smart grid technologies need to operate with the traditional protection elements (such as fuses, reclosers, and sectionalizers). This fact can create trouble in the protection schemes because there are two distinctive philosophies. In some companies, especially those without substantial capital, these two protection philosophies can run together for many years. The most popular intelligent electronic devices (IEDs) available in the market are studied to verify their features and the possibility to incorporate techniques to allow the two philosophies to work together. After that, the proposed approach shows how the existing IEDs can interact with the traditional devices. Special functions can also be incorporated to inform the control center of an operational problem, increasing the observability of the network. With the proposed approach, the IEDs are transformed into intelligent agents. Practical examples using real distribution systems are presented and discussed, proving the efficacy of the proposed methodology.

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“…In order to improve power grid resilience, an adaptive load restoration strategy considering flexible control of air conditioners and power supply from multiple power sources is proposed in [14]. Ref [15] proposed a multi‐step critical load restoration strategy with the grid‐support service of electric vehicles to deal with challenges during emergencies.…”

Section: Introductionmentioning

confidence: 99%

Distribution system resilience improvement against hurricanes: optimal line hardening according to reconfiguration potentials

Pashiri,

Azad,

Ameli

2024

The Journal of Engineering

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In recent years, there has been a notable increase in the frequency and intensity of natural disasters related to global warming. Large‐scale blackouts caused by natural disasters demonstrate the extreme vulnerability of power systems to these devastations. Resilience planning is the key to preparing power systems for natural disasters by enhancing the vital infrastructure's robustness. This paper proposes a new resilience improvement framework based on resiliency assessment and optimal hardening to improve the distribution system's resiliency against hurricanes. The main goal is to find the optimal distribution system line hardening solution according to reconfiguration potentials after the hurricane to minimize the distribution system cost of energy not supplied. Fragility curves and Monte Carlo simulations are used for the distribution system resilience assessment. Poles and conductors are vulnerable components of distribution system lines; therefore, two hardening strategies have been outlined using measures like replacing old poles with new poles, upgrading pole classes, and vegetation management. This method is modelled as an optimization program considering budget limitations and load priorities and implemented by a genetic algorithm on the IEEE 33‐bus standard network. The results show that optimal line hardening according to network reconfiguration potentials significantly increased the distribution system's resilience.

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Resiliency-Driven Multi-Step Critical Load Restoration Strategy Integrating On-Call Electric Vehicle Fleet Management Services

Cited by 28 publications

References 29 publications

Optimal Siting of EV Fleet Charging Station Considering EV Mobility and Microgrid Formation for Enhanced Grid Resilience

Optimal Siting of EV Fleet Charging Station Considering EV Mobility and Microgrid Formation for Enhanced Grid Resilience

Integrating Smart Grid Devices into the Traditional Protection of Distribution Networks

Distribution system resilience improvement against hurricanes: optimal line hardening according to reconfiguration potentials

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