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Design and implementation of an automated load scheduling and monitoring system

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dc.contributor.author Liyanage, BLCB
dc.contributor.author Tharushika, GHAS
dc.contributor.author Liyanage, KLSV
dc.contributor.author Porambage, MD
dc.contributor.author Abeygunawardane, SK
dc.contributor.author Wijesiriwardana, R
dc.date.accessioned 2019-09-05T04:07:17Z
dc.date.available 2019-09-05T04:07:17Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14977
dc.description.abstract An automated load scheduling and monitoring system is implemented by using smart sockets, a central control unit, and a user interface. This system can perform real-time power monitoring and appliance scheduling tasks and can be used with either demand response (DR) or demand-side management (DSM) applications with an ultimate target of reducing energy usage by means of effective controlling of electrical appliances. In the proposed system, the inter integrated circuit (I2C) protocol is used as the communication method between smart sockets and the central control unit. Message queuing telemetry transport (MQTT) protocol is used for the communication between the central unit and the web interface. Utilization of the above protocols plays a major role in enhancing the reliability of the entire system. Further realtime power monitoring of the connected appliances can be performed through an android application. Experimental results reveal that the designed smart sockets are capable of accurately and precisely monitoring the power consumption of connected devices. Maximum communication distance of 17m is achieved with I2C communication without using any bus extender. Modular approach in the software and hardware architecture of the system provides provisions for effective implementation of DR and DSM schedules. en_US
dc.language.iso en en_US
dc.subject Demand Response en_US
dc.subject Demand Side Management en_US
dc.subject Load Monitoring en_US
dc.subject Load Scheduling System en_US
dc.subject Smart Socket en_US
dc.title Design and implementation of an automated load scheduling and monitoring system en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.identifier.year 2019 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2019 en_US
dc.identifier.place Moraruwa, Sri Lanka en_US


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