2019
DOI: 10.3390/en12101911
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Supervisory Control for Wireless Networked Power Converters in Residential Applications

Abstract: This paper presents a methodology to design and utilize a supervisory controller for networked power converters in residential applications. Wireless networks have been interfaced to multiple power factor correction (PFC) converters which are proposed to support reactive power. Unregulated reactive power support from PFC converters could cause reactive power deficiency and instability. Therefore, a supervisory controller is necessary to govern the operation of PFC converters. WiFi and WirelessHART networks hav… Show more

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Cited by 2 publications
(1 citation statement)
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References 28 publications
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“…Their design is based on the application-specific requirements, since each industrial process has multiple objectives and different infrastructure needs [ 3 ]. In the past few years, IWSNs have emerged in numerous application fields, including personal health monitoring [ 19 ], building and civil infrastructure monitoring [ 20 , 21 ], automotive applications [ 22 ], power converters [ 23 ], power and smart grids [ 24 ], energy harvesting [ 25 ], smart cities [ 26 ], agriculture [ 27 ], food processing [ 28 ], underwater wireless sensor networks [ 29 , 30 ], and environment monitoring [ 31 ].…”
Section: Background Of Process Automationmentioning
confidence: 99%
“…Their design is based on the application-specific requirements, since each industrial process has multiple objectives and different infrastructure needs [ 3 ]. In the past few years, IWSNs have emerged in numerous application fields, including personal health monitoring [ 19 ], building and civil infrastructure monitoring [ 20 , 21 ], automotive applications [ 22 ], power converters [ 23 ], power and smart grids [ 24 ], energy harvesting [ 25 ], smart cities [ 26 ], agriculture [ 27 ], food processing [ 28 ], underwater wireless sensor networks [ 29 , 30 ], and environment monitoring [ 31 ].…”
Section: Background Of Process Automationmentioning
confidence: 99%