Optimization models for demand-side and supply-side scheduling in smart grids


Tan, Wooi Nee and Gan, Ming Tao and Tan, Zheng Ling (2016) Optimization models for demand-side and supply-side scheduling in smart grids. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, pp. 1-5. ISBN 978-1-5090-2320-2

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This paper focuses on the load scheduling problem in both demand-side management and supply-side management for household users in a smart grid. Linear programming models have been developed either to minimize the energy cost in demand-side scheduling, or to maximize the load factor for supply-side scheduling. The proposed models provide various flexibilities to the end users by allowing them to define multiple time intervals for the operations of intended appliances, and to pre-set if an appliance should be operated with or without interruption. Simulations performed on the load scheduling of one individual household give promising and convincing results. The proposed model in its linear programming form promises a fast and convergent solving process with a guaranteed exact solution. These added features make the proposed load scheduling framework more practical and realistic for real world applications.

Item Type: Book Section
Uncontrolled Keywords: smart grid, linear programming, optimization, demand-side, supply-side, scheduling
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 06 Dec 2017 11:28
Last Modified: 06 Dec 2017 11:29
URII: http://shdl.mmu.edu.my/id/eprint/6552


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