PN Inference Based Autonomous Sequential Restoration of Distribution System Under Natural Disaster

Kumari, Sandhya; Ghose, T. K.; Kumar, Deepak; Chatterjee, Kalyan

doi:10.1109/jsyst.2020.2994585

Cited by 8 publications

(2 citation statements)

References 43 publications

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“…In this paper, logic gates in PN is used for determining the active aliveness of the power line by using the digital information obtained from RTUs when the communication link is down but power links or any other power system components are alive. This approach was presented in [8] and the logic PN representation is show in Fig. 5.…”

Section: Network Topology After Disaster Using Pnmentioning

confidence: 99%

Clustering Distribution Islands with DERs for Limited System Restoration

Roa¹,

Ten²,

Weaver³

2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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When a major outage has occurred in an area with constant disruptive storms, a coordinated decision to safely restore power in the region is critical in the recovery efforts. However, the certainty of grid status can be hard to predict, especially determining if a communication infrastructure is devastated. In this paper, characterizing the potential restoration likelihood is formulated based on a generalization of the restoration process. Such cluster of restorative methodology is proposed as a decision tool for power service restoration. The milestone captures models of transitions, probabilistic estimation, and statuses for generic power system components that are developed to establish the network behavior. Multiple test scenarios have been developed to validate the proposed methodology. Results indicate that after a catastrophic event, the proposed approach can suggest the steps for the switching sequence of the T&D system during the grid recovery process based on the power monitoring devices. This approach can be integrated as a planning tool for grid planning.

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Section: Network Topology After Disaster Using Pnmentioning

confidence: 99%

Clustering Distribution Islands with DERs for Limited System Restoration

Roa¹,

Ten²,

Weaver³

2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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show abstract

“…In this study, the optimal dispatch of repair crews is determined as well. In [27], an algorithm for the construction of network microgrids after a natural disaster is developed. In this algorithm, Petri nets are utilized for recognizing the status of healthy components.…”

Section: Introductionmentioning

confidence: 99%

A Novel Pre-Storm Island Formation Framework to Improve Distribution System Resilience Considering Tree-Caused Failures

et al. 2022

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This paper presents a new framework for island formation prior to windstorms, which considers tree-caused failures of distribution networks. In the proposed framework, both direct and indirect effects of windstorms on distribution lines are quantified. Thus, a novel discrete Markov chain model is proposed for representing the failure modes of trees in each time interval of windstorm duration. This model categorizes ''healthy'', ''uprooted'', ''stem breakage'', and ''branch breakage'' states of a tree. In addition, a new linetree interaction model is presented for calculating tree-caused failure probability of overhead lines. The results of the proposed Markov model are taken as inputs by the developed line-tree interaction model. In these models, the different characteristics of windstorms are taken into account. Tree vulnerability to

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Study on the Resilience Model of Power Distribution Networks Under Typhoon Disasters

He,

You,

et al. 2024

Lecture Notes in Electrical Engineering

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PN Inference Based Autonomous Sequential Restoration of Distribution System Under Natural Disaster

Cited by 8 publications

References 43 publications

Clustering Distribution Islands with DERs for Limited System Restoration

Clustering Distribution Islands with DERs for Limited System Restoration

A Novel Pre-Storm Island Formation Framework to Improve Distribution System Resilience Considering Tree-Caused Failures

Study on the Resilience Model of Power Distribution Networks Under Typhoon Disasters

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