2018
DOI: 10.1109/tsg.2016.2591885
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Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events

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Cited by 363 publications
(227 citation statements)
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“…The research on the resilience of power systems mainly focuses on two aspects. In Ma et al, 18 a two-stage stochastic mixed-integer programming framework to protect distribution systems against extreme natural disasters is proposed, considering the allocations of DG and automatic switches. [10][11][12][13] The other are the methods and measures to enhance the resilience of power systems, mainly focusing on the three stages of the function curve, which include the prevention, defence, and restoration.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…The research on the resilience of power systems mainly focuses on two aspects. In Ma et al, 18 a two-stage stochastic mixed-integer programming framework to protect distribution systems against extreme natural disasters is proposed, considering the allocations of DG and automatic switches. [10][11][12][13] The other are the methods and measures to enhance the resilience of power systems, mainly focusing on the three stages of the function curve, which include the prevention, defence, and restoration.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Constraint (14) guarantees that the active and reactive power flow equations are satisfied. Constraints (16) to (18) describe that the node voltages, line currents, and state of charge of ESSs are within the permissible. Constraints (16) to (18) describe that the node voltages, line currents, and state of charge of ESSs are within the permissible.…”
Section: Constraintsmentioning
confidence: 99%
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“…Salman et al (2015) proposed a framework considering failure of poles and power delivery, component importance measure, hurricane hazard analysis, and decay of poles to evaluate the effectiveness of targeted hardening strategies on power distribution systems subjected to hurricanes. Ma et al (2017) derived an optimal hardening strategy for distribution networks by proposing a tri-level optimization model that considers the probabilistic failures of hardened components to protect the grid against extreme weather events.…”
Section: Resilience Planningmentioning
confidence: 99%
“…Loss of Load Expectation (LOLE) and Loss of Load Frequency (LOLF) were used as indices in [24][25][26]. The other indices that are also commonly used to express grid resilience are Expected Energy Not Supplied (EENS) [27,28] and the amount of load shedding [29,30]. These indices measure grid resilience in terms of the impact.…”
Section: Grid Resilience Assessmentmentioning
confidence: 99%