Hardening Strategy to Boost Resilience of Distribution Systems via Harnessing a Proactive Operation Model

Taheri, Babak; Jalilian, Ali; Safdarian, Amir

doi:10.1109/sgc49328.2019.9056585

Cited by 6 publications

(6 citation statements)

References 23 publications

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“…We linearize the line flow limits specified in terms of apparent power as shown in (5), where Sm,n is the capacity of line (m, n).…”

Section: Power Flowmentioning

confidence: 99%

“…Underground line construction $1M/mile [25] Remote-controlled switches $15k [5] ing many disaster scenarios. For each scenario, this model considers the optimal dispatch of the mobile generators when determining where to add new underground lines.…”

Section: Investment Costmentioning

confidence: 99%

“…Hardening strategies reduce the impacts of disasters. For example, the approach in [5] identifies optimal locations to harden lines and place switches in order to reduce the effects of high-impact low-probability (HILP) events and enhance the restoration performance of the system. As another example, the authors of [6] enhance distribution system resilience by combining line hardening, installing distributed generators, and adding remote-controlled switches.…”

Section: Introductionmentioning

confidence: 99%

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Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators

Taheri¹,

Molzahn²,

Grijalva³

2022

Preprint

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To improve the resilience of electric distribution systems, this paper proposes a stochastic multi-period mixed-integer linear programming model that determines where to underground distribution lines and how to coordinate mobile generators in order to serve critical loads during extreme events. The proposed model represents the service restoration process using the linearized DistFlow approximation of the AC power flow equations as well as binary variables for the undergrounding statuses of the lines, the configurations of switches, and the locations of mobile generators during each time period. The model also enforces a radial configuration of the distribution network and considers the transportation times needed to reposition the mobile generators. Using an extended version of the IEEE 123-bus test system, numerical simulations show that combining the ability to underground distribution lines with the deployment of mobile generators can significantly improve the resilience of the power supply to critical loads.

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“…We linearize the line flow limits specified in terms of apparent power as shown in (5), where Sm,n is the capacity of line (m, n).…”

Section: Power Flowmentioning

confidence: 99%

Section: Investment Costmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators

Taheri¹,

Molzahn²,

Grijalva³

2022

Preprint

Self Cite

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show abstract

“…Also, supplemental power flow can be injected to/extracted from buses m and n only if a tie-line is constructed between them. It is supposed that a tie-line can be constructed between two buses m and n only if they are in neighbours (adjacent) (30). Finally, (31) assure that the total cost of tie-line installation would be less than the distribution company's total budget for tie-line planning.…”

Section: Tie-line Planning Constraintsmentioning

confidence: 99%

“…In [30], the authors have developed a hardening strategy for DSs utilizing a proactive operation model in MILP fashion, in which line hardening alongside RCS placement is considered for mitigating the impact of natural disasters. It can be seen that the manoeuvring points are playing a pivotal role in the service restoration process of DSs by enabling the critical load supply through a quick network reconfiguration in response to the HILP events.…”

Section: Introductionmentioning

confidence: 99%

Tie‐line planning for resilience enhancement in unbalanced distribution networks

Taheri

Safdarian

2021

IET Generation Trans & Dist

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Over the past decades, there has been a dramatic increase in the frequency of natural disasters, which are the leading causes of large-scale power outages. This paper, therefore, assesses the significance and role of optimal tie-line construction in improving the service restoration performance of unbalanced power distribution systems in the aftermath of high-impact low-probability incidents. In doing so, a restoration process aware stochastic mixed-integer linear programming model is developed to find the optimal locations for new tie-line construction in unbalanced three-phase distribution systems. In particular, the restoration process of distribution systems, including the fault isolation and system reconfiguration, is contemplated to place tie-lines in the most proper locations to enhance the manoeuvring capability of distribution systems and reducing the customer interruption time. Furthermore, the model is a stochastic one wherein uncertainty associated with potential damages alongside demand uncertainty is captured via a set of likely scenarios. To validate the effectiveness of the proposed stochastic mixed-integer linear programming model, it is tested and verified on the IEEE 13-and 123-bus test systems.

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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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Hardening Strategy to Boost Resilience of Distribution Systems via Harnessing a Proactive Operation Model

Cited by 6 publications

References 23 publications

Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators

Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators

Tie‐line planning for resilience enhancement in unbalanced distribution networks

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

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