Resiliency Assessment of Microgrid Systems

Ibrahim, Mariam; Alkhraibat, Asma

doi:10.3390/app10051824

Cited by 28 publications

(14 citation statements)

References 21 publications

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“…The resiliency in the power system specifies the capable response that the system withstands the faulty conditions and must not fall back to blackout conditions. It recovers the system from the faulty state and turns it into the normal state [108]. It also introduces the term level of resilience (LoR), evaluating multiple MG topologies to eradicate the faulty scenarios for microgrid operation [109].…”

Section: Resilient Power Systems and Energy Storage Systems In Campus Microgridsmentioning

confidence: 99%

An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges

Muqeet¹,

Munir

Javed

et al. 2021

Energies

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The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and downs in the market price, and controlling different loads, are challenging points in managing campus energy with multiple microgrid systems and are a hot topic of research in the current era. Microgrids deployed at multiple campuses can be successfully operated with an exemplary energy management system (EMS) to address these challenges, offering several solutions to minimize the greenhouse gas (GHG) emissions, maintenance costs, and peak load demands of the microgrid infrastructure. This literature survey presents a comparative analysis of multiple campus microgrids’ energy management at different universities in different locations, and it also studies different approaches to managing their peak demand and achieving the maximum output power for campus microgrids. In this paper, the analysis is also focused on managing and addressing the uncertain nature of renewable energies, considering the storage technologies implemented on various campuses. A comparative analysis was also considered for the energy management of campus microgrids, which were investigated with multiple optimization techniques, simulation tools, and different types of energy storage technologies. Finally, the challenges for future research are highlighted, considering campus microgrids’ importance globally. Moreover, this paper is expected to open innovative paths in the future for new researchers working in the domain of campus microgrids.

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Section: Resilient Power Systems and Energy Storage Systems In Campus Microgridsmentioning

confidence: 99%

An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges

Muqeet¹,

Munir

Javed

et al. 2021

Energies

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“…The results are illustrated in Figure 7. According to the results, among the surveyed studies, energy systems (e.g., [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]), transportation networks (e.g., [56][57][58][59][60][61][62][63][64][65][66][67][68][69]), and water supply networks (e.g., [70][71][72][73][74][75][76][77][78]) have the highest frequency as case studies, among other fields. Meanwhile, health care infrastructures [79,80], industrial processes [81][82][83], supply chain [84], mining sector…”

Section: In What Type Of Technological Ciss Has the Concept Of Resilience Been Used?mentioning

confidence: 99%

“…Maintainability: The term maintainability is a measure of how easily the CIS is repaired to a specified condition [117,136]. Most studies have used recovery speed or recovery time to quantify CIS maintainability [45,76,78,85,100,102,[152][153][154]. Therefore, if the time required to recover the CIS is short, it indicates proper CIS maintainability.…”

Section: What Types Of Terms Define/determine the Resilience Of Technological Ciss?mentioning

confidence: 99%

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

et al. 2021

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Risk management is a fundamental approach to improving critical infrastructure systems’ safety against disruptive events. This approach focuses on designing robust critical infrastructure systems (CISs) that could resist disruptive events by minimizing the possible events’ probability and consequences using preventive and protective programs. However, recent disasters like COVID-19 have shown that most CISs cannot stand against all potential disruptions. Recently there is a transition from robust design to resilience design of CISs, increasing the focus on preparedness, response, and recovery. Resilient CISs withstand most of the internal and external shocks, and if they fail, they can bounce back to the operational phase as soon as possible using minimum resources. Moreover, in resilient CISs, early warning enables managers to get timely information about the proximity and development of distributions. An understanding of the concept of resilience, its influential factors, and available evaluation and analyzing tools are required to have effective resilience management. Moreover, it is important to highlight the current gaps. Technological resilience is a new concept associated with some ambiguity around its definition, its terms, and its applications. Hence, using the concept of resilience without understanding these variations may lead to ineffective pre- and post-disruption planning. A well-established systematic literature review can provide a deep understanding regarding the concept of resilience, its limitation, and applications. The aim of this paper is to conduct a systematic literature review to study the current research around technological CISs’ resilience. In the review, 192 primary studies published between 2003 and 2020 are reviewed. Based on the results, the concept of resilience has gradually found its place among researchers since 2003, and the number of related studies has grown significantly. It emerges from the review that a CIS can be considered as resilient if it has (i) the ability to imagine what to expect, (ii) the ability to protect and resist a disruption, (iii) the ability to absorb the adverse effects of disruption, (iv) the ability to adapt to new conditions and changes caused by disruption, and (v) the ability to recover the CIS’s normal performance level after a disruption. It was shown that robustness is the most frequent resilience contributing factor among the reviewed primary studies. Resilience analysis approaches can be classified into four main groups: empirical, simulation, index-based, and qualitative approaches. Simulation approaches, as dominant models, mostly study real case studies, while empirical methods, specifically those that are deterministic, are built based on many assumptions that are difficult to justify in many cases.

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“…They only refer to it as some quantifiable indicator (F(t)). The paper by [33] proposes a set of factors that are used to quantify the resilience of microgrid systems. The level of resilience measurement is determined by the assessment of the percentage of voltage, the level of yield reduction measured by the percentage of reduction in the served load, the recovery time and the time to reach the power balance state.…”

Section: Resilience Metricsmentioning

confidence: 99%

Fleet Resilience: Evaluating Maintenance Strategies in Critical Equipment

et al. 2020

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Resilience is an intrinsic characteristic of systems. Through it, the capacity of a system to react to the existence of disruptive events is expressed. A series of metrics to represent systems’ resilience have been proposed, however, only one indicator relates the availability of the system to this characteristic. With such a metric, it is possible to relate the topological aspects of a system and the resources available in order to be able to promptly respond to the loss of performance as a result of unexpected events. This work proposes the adaptation and application of such a resilience index to assess the influence of different maintenance strategies and topologies in fleets’ resilience. In addition, an application study considering an actual mining fleet is provided. A set of critical assets was identified and represented using reliability block diagrams. Monte Carlo simulation experiments were conducted and the system availability data were extracted. Resilience indexes were obtained in order to carry out the definition of the best maintenance policies in critical equipment and the assessment of the impact of modifying system redundancies. The main results of this work lead to the overall conclusion that redundancy is an important system attribute in order to improve resiliency along time.

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Resiliency Assessment of Microgrid Systems

Cited by 28 publications

References 21 publications

An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges

An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

Fleet Resilience: Evaluating Maintenance Strategies in Critical Equipment

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