Mitigating failure propagation in microgrids through topology reconfiguration

Bawayan, Haneen; Younis, Mohamed

doi:10.1016/j.segan.2020.100363

Cited by 8 publications

(1 citation statement)

References 43 publications

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“…In [32], cascaded failure containment (CFC) raises the failure flexibility in a microgrid (MG) based on solving the optimal load flow considering frequency variation by means of network reconfiguration. The proposed strategy balances an MG with the biggest active power load and reduces the network fluctuation hazard and the maximum index of the line stability.…”

Section: Introductionmentioning

confidence: 99%

Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm

Mahdavi,

Asadpour,

Macedo

et al. 2023

Energies

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The economic interest in power loss minimization and regulatory requirements regarding voltage levels in distribution systems are considered. In this paper, a computational technique to assist in the optimization of the power losses and voltage characteristic in the steady state through distribution network reconfiguration and the location and size of the distributed generators is addressed. The whale optimization algorithm (WOA) is chosen to perform this task since it can explore the sizeable combinatorial search space of the problem, which is also nonlinear and nonconvex. The purpose of this study is to mitigate power losses; voltage ranges are borne in mind as the problem restrictions. The proposals for solving the issue are evaluated using a specialized power flow algorithm. The algorithm is implemented in MATLAB and the 33-bus and 69-bus grids are employed to assess the performance of the approach. The results indicate that the WOA method outperforms regarding power loss reduction and voltage characteristic improvement in the concurrent integration of distribution network reconfiguration and distributed generators compared with the four metaheuristics shown in the results section.

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Section: Introductionmentioning

confidence: 99%

Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm

Mahdavi,

Asadpour,

Macedo

et al. 2023

Energies

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Survey on microgrids with flexible boundaries: Strategies, applications, and future trends

Debouza

Al‐Durra

EL-Fouly

et al. 2022

Electric Power Systems Research

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Robustness analysis of interdependent network accounting for failure probability and coupling patterns

Yang,

Dang,

Guo

et al. 2024

Chaos: An Interdisciplinary Journal of Nonlinear Science

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The robustness of interdependent networks against perturbations is an important problem for network design and operation. This paper focuses on establishing a cascading failure dynamics model and analyzing the robustness for interdependent networks, in which the states of the nodes follow certain failure probability and various connectivity patterns. First, to describe the removal mechanism of an overloaded node, the failure probability associated with the load distribution of components was proposed. Then, we present the node capacity cost and the average capacity cost of the network to investigate the propagation of cascading failures. Finally, to discuss the impact of the configuration parameters on robustness, some numerical examples are conducted, where the robustness was analyzed based on the proposed method and different interdependence types. Our results show that, the larger the overload parameter, the more robust the network is, but this also increases the network cost. Furthermore, we find that allocating more protection resources to the nodes with higher degree can enhance the robustness of the interdependent network. The robustness of multiple-to-multiple interdependent networks outperforms that of one-to-one interdependent networks under the same coupling pattern. In addition, our results unveil that the impact of coupling strategies on the robustness of multiple-to-multiple interdependent networks is smaller than that of one-to-one interdependent networks.

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Mitigating failure propagation in microgrids through topology reconfiguration

Cited by 8 publications

References 43 publications

Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm

Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm

Survey on microgrids with flexible boundaries: Strategies, applications, and future trends

Robustness analysis of interdependent network accounting for failure probability and coupling patterns

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