A review on resilience studies in active distribution systems

Mishra, Dillip Kumar; Ghadi, Mojtaba Jabbari; Azizivahed, Ali; Li, Li; Zhang, Jiangfeng

doi:10.1016/j.rser.2020.110201

Cited by 134 publications

(52 citation statements)

References 167 publications

(198 reference statements)

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“…According to (8), the variable β ℓ should be set to zero, if two sides of a line belong to the same module. Symbol J represents the logical XNOR operation.…”

Section: Boundary Constraintsmentioning

confidence: 99%

“…7 In order to achieve a resilient distribution network against HILP events, the planning and operation activities of the distribution network should be upgraded prior, during, and after the disasters. 8 In this regards, optimal deployment of smart grid technologies and forming the efficient microgrids is of paramount importance. 9 Several studies have researched the potential measures and the possible remedial actions for preventing the extensive outages and deteriorating the impacts of such disasters in distribution networks.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, the proposed approach aims at identifying an investment plan and, in this regard, does not focus on the short-term operations. Note that in this study, we assume that the DGs have nonintermittent production 8 ; however, the proposed methodology can be further expanded in the next stage of research to include the DGs with uncertain production as well through the related uncertainty modeling such as those introduced in References 40-44 In conclusion, the most important contributions of the proposed method can be categorized as follows:…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel resource allocation model based on the modularity concept for resiliency enhancement in electric distribution networks

et al. 2021

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Paying attention to the modularity feature of electric distribution systems improves their performance against severe events and makes an outstanding opportunity for resiliency enhancement. In this paper, a novel framework based on the modularity concept is proposed in which, by deploying smart grid technologies and forming efficient modules, effective and robust energy in distribution systems is provided. Optimal placement of distributed generation (DG) resources, load control options, switching devices, and tie lines are simultaneously incorporated in the proposed linear allocation model. To consider electrical and topological characteristics in the independent functioning of the formed modules, a path-based method is employed. The effectiveness and computability of the proposed algorithm are examined by performing several simulations on two modified 37-bus and 84-bus test systems. The results demonstrate that the developed modular structure, by subdividing the system into several independent parts, creates more flexibility for the recovery process and facilitates the self-healing capabilities.

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“…According to (8), the variable β ℓ should be set to zero, if two sides of a line belong to the same module. Symbol J represents the logical XNOR operation.…”

Section: Boundary Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel resource allocation model based on the modularity concept for resiliency enhancement in electric distribution networks

et al. 2021

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“…In the latter case, constraints regarding the time-relationships between the investments should be taken into account. Another problem that has been recently faced is the planning, including resilience aspects, which should handle with rare event having high impact [64,65]. In real-world applications, often the optimal investment choice requires to consider a number of aspects (not only economic, but also social and environmental) that can be managed through multi-criteria approaches, as reviewed in [66].…”

Section: Distribution System Planning (Dsp)mentioning

confidence: 99%

Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’

Chicco

Mazza

2020

Energies

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In the power and energy systems area, a progressive increase of literature contributions that contain applications of metaheuristic algorithms is occurring. In many cases, these applications are merely aimed at proposing the testing of an existing metaheuristic algorithm on a specific problem, claiming that the proposed method is better than other methods that are based on weak comparisons. This ‘rush to heuristics’ does not happen in the evolutionary computation domain, where the rules for setting up rigorous comparisons are stricter but are typical of the domains of application of the metaheuristics. This paper considers the applications to power and energy systems and aims at providing a comprehensive view of the main issues that concern the use of metaheuristics for global optimization problems. A set of underlying principles that characterize the metaheuristic algorithms is presented. The customization of metaheuristic algorithms to fit the constraints of specific problems is discussed. Some weaknesses and pitfalls that are found in literature contributions are identified, and specific guidelines are provided regarding how to prepare sound contributions on the application of metaheuristic algorithms to specific problems.

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“…The authors of [26][27][28][29][30][31] provided a comprehensive classification of definitions, metrics, guidelines, practical challenges and technical and practical problems in power system resilience research.…”

Section: Introductionmentioning

confidence: 99%

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

Beyza

Yusta

2021

Energies

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Power systems face failures, attacks and natural disasters on a daily basis, making robustness and resilience an important topic. In an electrical network, robustness is a network’s ability to withstand and fully operate under the effects of failures, while resilience is the ability to rapidly recover from such disruptive events and adapt its structure to mitigate the impact of similar events in the future. This paper presents an integrated framework for jointly assessing these concepts using two complementary algorithms. The robustness model, which is based on a cascading failure algorithm, quantifies the degradation of the power network due to a cascading event, incorporating the circuit breaker protection mechanisms of the power lines. The resilience model is posed as a mixed-integer optimisation problem and uses the previous disintegration state to determine both the optimal dispatch and topology at each restoration stage. To demonstrate the applicability of the proposed framework, the IEEE 118-bus test network is used as a case study. Analyses of the impact of variations in both generation and load are provided for 10 simulation scenarios to illustrate different network operating conditions. The results indicate that a network’s recovery could be related to the overload capacity of the power lines. In other words, a power system with high overload capacity can withstand higher operational stresses, which is related to increased robustness and a faster recovery process.

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A review on resilience studies in active distribution systems

Cited by 134 publications

References 167 publications

A novel resource allocation model based on the modularity concept for resiliency enhancement in electric distribution networks

A novel resource allocation model based on the modularity concept for resiliency enhancement in electric distribution networks

Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

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