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Heuristic algorithm based dynamic scheduling model of home appliances in smart grid

Khan, Inam Ullah and Ma, Xiandong and Taylor, C. James and Javaid, N and Gamage, Kelum (2018) Heuristic algorithm based dynamic scheduling model of home appliances in smart grid. In: 24th International Conference on Automation and Computing :. IEEE. (In Press)

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    Abstract

    Smart grid provides an opportunity for customers as well as for utility companies to reduce electricity costs and regulate generation capacity. The success of scheduling algorithms mainly depends upon accurate information exchange between main grids and smart meters. On the other hand, customers are required to schedule loads, respond to energy demand signals, participate in energy bidding and actively monitor energy prices generated by the utility company. Strengthening communication infrastructure between the utility company and consumers can serve the purpose of consumer satisfaction. We propose a heuristic demand side management model for scheduling smart home appliances in an automated manner, to maximise the satisfaction of the consumers associated with it. Simulation results confirm that the proposed hybrid approach has the ability to reduce the peak-to-average ratio of the total energy demand and reduce the total cost of the energy without compromising user comfort.

    Item Type: Contribution in Book/Report/Proceedings
    Additional Information: ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Uncontrolled Keywords: demand side management ; appliance scheduling ; critical peak pricing ; household energy management
    Subjects:
    Departments: Faculty of Science and Technology > Engineering
    ID Code: 127490
    Deposited By: ep_importer_pure
    Deposited On: 13 Sep 2018 15:12
    Refereed?: No
    Published?: In Press
    Last Modified: 13 Nov 2018 00:59
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/127490

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