Emergency electric service restoration in the aftermath of a natural disaster

Choobineh, Moein; Mohagheghi, Salman

doi:10.1109/ghtc.2015.7343971

Cited by 17 publications

(14 citation statements)

References 19 publications

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“…In addition, restoration techniques that are adaptive to widespread outages can enhance resilience as an additional operational solution [26][27][28]. After a natural disaster, the occurrence of multiple damages is very probable and thus repair crews play a critical role during restoration state.…”

Section: Enhancing Power Systems Resiliencementioning

confidence: 99%

Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies

et al. 2017

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Abstract-Power systems have typically been designed to be reliable to expected, low-impact high-frequency outages. In contrast, extreme events, driven for instance by extreme weather and natural disasters, happen with low-probability, but can have a high impact. The need for power systems, possibly the most critical infrastructures in the world, to become resilient to such events is becoming compelling. However, there is still little clarity as to this relatively new concept. On these premises, this paper provides an introduction to the fundamental concepts of power systems resilience and to the use of hardening and smart operational strategies to improve it. More specifically, first the resilience trapezoid is introduced as visual tool to reflect the behavior of a power system during a catastrophic event. Building on this, the key resilience features that a power system should boast are then defined, along with a discussion on different possible hardening and smart, operational resilience enhancement strategies. Further, the so-called ΦΛΕΠ resilience assessment framework is presented, which includes a set of resilience metrics capable of modelling and quantifying the resilience performance of a power system subject to catastrophic events. A case study application with a 29-bus test version of the Great Britain transmission network is carried out to investigate the impacts of extreme windstorms. The effects of different hardening and smart resilience enhancement strategies are also explored, thus demonstrating the practicality of the different concepts presented. However, ensuring an uninterrupted electricity supply is challenging, as power systems are exposed to several threats. These threats can be mainly categorized in typical power system outages and extreme events, driven for instance by natural disasters/extreme weather. There are distinct differences between these two categories, as shown in Table I [4]. Hence, electrical power systems have been designed in a way that they possess high levels of reliability to the more typical threats. Latest events are now creating compelling cases for power systems to also boast high levels of resilience to natural disasters and extreme weather, to reduce the frequency and severity of power disruptions. Power systems reliability is a well-known and established concept, and several reliability-oriented studies have been developed by power system engineers and scholars. In contrast, there is much less clarity as to the concept of resilience. "Resilience" originates from the Latin word "resilio" and, having been first introduced by C.S. Holling in 1973 for ecological systems [5], is a relatively new and emerging concept in the area of power systems. Within this context, power systems resilience can be referred to as the ability of a power system to recover quickly following a disaster or, more generally, to the ability of anticipating extraordinary and high-impact, low-probability events, rapidly recovering from these disruptive events, and absorbing lessons for adapting ...

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Section: Enhancing Power Systems Resiliencementioning

confidence: 99%

Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies

et al. 2017

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“…Reference [183] focused on MG formations around DERs in an optimal fashion aftermath of the event in which capacity and fuel availability constraints were taken into account in nonlinear mixed integer programing model.…”

Section: Resiliency-based Microgrid Applicationsmentioning

confidence: 99%

A topological overview of microgrids: from maturity to the future

Erenoğlu¹,

Sancar²,

Erdinç³

et al. 2021

Turkish Journal of Electrical Engineering and Computer Sciences

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The concept of microgrid (MG) has attracted great attention from the system operators for increasing operational effectiveness as well as providing more reliable, sustainable and economic power system. In this paper, a comprehensive investigation is presented to shine new light on evaluating changes in MG operation from maturity to the future. A great deal of literature studies consisting of the traditional MG architecture, encountered challenges and proposed solutions for overcoming them are all examined in detail. Also, the impact of highly integrated renewable-based energy sources into the power system is analysed by current studies. Moreover, modern MG architecture is extensively investigated from the point of operational flexibility such as energy storage systems (ESSs), combined structure of networked-MGs (NMGs) and demand-side management (DSM). Furthermore, incorporating MG architecture as a gridsupport service in power system resiliency enhancement strategies is investigated with current literature studies. As a result of this detail investigation, it can be deduced that the power system has witnessed radically new changes and outstanding developments in both generation and consumption side. Renewable power sources have been accepted as the major mile stone in the harnessing electricity and there have a strong trend towards penetrating these types of generation units in MG structure. On the other hand, increased concerns about safety problems and challenges in MG have triggered a huge amount of discussions in the literature.

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“…A cost-effective system-level restoration scheme is presented in [11] to improve power grid resilience. An MG dispatch solution is proposed in [12] for emergency electric service restoration after a disaster. A methodology for MG management and control to maximize the duration of electricity supply in emergency situations is proposed in [13].…”

Section: B Related Workmentioning

confidence: 99%

“…Microgrids (MGs) can enhance post-disaster resilience by improving generation availability (e.g., fuel cells, microturbines, wind turbines, photovoltaic panels) when the utility power of the DS is unavailable [5]. During extreme natural disasters and aftermath, the generation resources within the DS are limited and hard to supplement due to the direct or indirect damage to power grid and transportation [12]. Therefore, it is necessary to manage the generation resources within the system appropriately to prevent a complete outage.…”

Section: B Related Workmentioning

confidence: 99%

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Optimizing the Post-Disaster Control of Islanded Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

et al. 2020

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Extreme disasters may cause the power supply to the distribution system (DS) to be interrupted. The DS is forced to operate in island mode and forms an islanded microgrid (MG). In order to improve the post-disaster resilience of the DS and to provide longer power supply for as many loads as possible with limited generation resources, this paper proposes a multi-agent deep reinforcement learning (DRL) method which realizes a dual control on the source and load sides of the MG. The problem of resilience improvement is converted to a sequential decision making problem, where the objective is to maximize the cumulative MG utility value over the power outage duration. A multi-agent DRL model is proposed to solve the sequential decision making problem. A dual control policy including energy storage management and load shedding strategy is put forward to maximize the utility value of the MG. A reinforcement learning (RL) environment based on OpenAI and OpenDSS for islanded MG is constructed as a simulator, which has a general interface compatible with, and also can be published to, OpenAI Gym. Numerical simulations are performed for an MG equipped with wind turbines, diesel generators, and storage devices to validate the effectiveness of the proposed method. The influences of available generation resources and power outage duration on the control policy are discussed, which validates the strong adaptability of the proposed method in different conditions.

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Emergency electric service restoration in the aftermath of a natural disaster

Cited by 17 publications

References 19 publications

Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies

Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies

A topological overview of microgrids: from maturity to the future

Optimizing the Post-Disaster Control of Islanded Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

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