Optimal Scheduling of Dynamic Energy Demand in Smart Grid Using Time-slotting Linear Programming


Mansor, Mohd Nazrin and Tan, Wooi Nee and Gan, Ming Tao and Yip, Sook Chin and Wong, Hwee Ling (2019) Optimal Scheduling of Dynamic Energy Demand in Smart Grid Using Time-slotting Linear Programming. In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 29 Sept.-2 Oct. 2019, Bucharest, Romania.

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This work concentrates on the problem of load scheduling in demand-side management for residential users in smart grid. A new linear programming model is proposed to search for the optimal operating slots of the household appliances so that the total cost of energy bill is minimized. The proposed model takes into account the standby power and time-varying demand of the appliances to make the model more realistic for real-life application. The model also provides flexibilities to the residential users by allowing them to choose multiple preferable time slots for the operations of the appliances. The convex form of linear programming model guarantees an efficient search of the exact solutions. Simulation results show that the obtained optimal solution is able to reduce user's daily electricity charges

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: demand-side management, load scheduling, optimization, smart grid, time-varying demand, Smart power grids
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001-3521 Distribution or transmission of electric power
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 20 Aug 2021 08:16
Last Modified: 20 Aug 2021 08:16
URII: http://shdl.mmu.edu.my/id/eprint/8825


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