2023
DOI: 10.1016/j.epsr.2023.109739
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Reliability assessment of distribution system using Petri net for enhancement of situational awareness

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Cited by 6 publications
(2 citation statements)
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“…The introduction of distributed generation (DG) further complicates matters by altering both the direction and magnitude of short-circuit currents, resulting in the breakdown of existing coordination systems. This, in turn, impacts the effectiveness and reliability of the protection system, affecting its selectivity, sensitivity, and response speed [1,2]. Due to this bidirectionality, DOCRs are used for discrimination of fault current direction.…”
Section: Introductionmentioning
confidence: 99%
“…The introduction of distributed generation (DG) further complicates matters by altering both the direction and magnitude of short-circuit currents, resulting in the breakdown of existing coordination systems. This, in turn, impacts the effectiveness and reliability of the protection system, affecting its selectivity, sensitivity, and response speed [1,2]. Due to this bidirectionality, DOCRs are used for discrimination of fault current direction.…”
Section: Introductionmentioning
confidence: 99%
“…To extract valuable information from massive power grid data and effectively select and utilize it, it is necessary to grasp the internal correlation and law of distribution network data [15] and extract the main factors affecting the operation of the distribution network [16]. On this basis, considering the influence of external environmental conditions of the distribution network [17], the accurate perception of the development status of the initial insulation fault of the distribution network has become a key issue in the analysis and research of the insulation fault of the distribution network [18]. At present, most cities have multiple distribution management systems, including distribution network data acquisition and monitoring systems, distribution automation systems, power grid meteorological information systems, dispatch automation systems, power quality detection, and management systems, geographic information systems, and intelligent public distribution monitoring systems.…”
mentioning
confidence: 99%