2022
DOI: 10.1080/15567036.2022.2069304
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Particle swarm optimization algorithm for dynamic synchronization of smart grid

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Cited by 4 publications
(2 citation statements)
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“…In recent years, the development of Machine Learning/AIbased technologies and digital technologies is impacting all industrial and service fields, energy, and management and this impact is increasing both in breadth and depth [40][41][42][43][44]. With the diverse impacts of digital technologies on all industries and service fields with the promise of the opportunity for creating value, from then, these technologies would receive recognition in transport fields in general and maritime transport fields in particular [45] [46].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the development of Machine Learning/AIbased technologies and digital technologies is impacting all industrial and service fields, energy, and management and this impact is increasing both in breadth and depth [40][41][42][43][44]. With the diverse impacts of digital technologies on all industries and service fields with the promise of the opportunity for creating value, from then, these technologies would receive recognition in transport fields in general and maritime transport fields in particular [45] [46].…”
Section: Introductionmentioning
confidence: 99%
“…However, it considers microgrid with only converter-based system and is interfaced with the utility grid, no attention given for microgrids having the conventional rotating DGs. Active synchronization schemes using particle swarm optimization (PSO) techniques to integrate rotating machine with utility grid is proposed in [11]. Indeed, discussing the integration of rotating machines is emphasized, however, the concept of island operation and effect of interconnecting generating unit with different range of synchronization limits are not considered in [9].…”
Section: Introduction As Per World Bank Global Electrification Databa...mentioning
confidence: 99%