Xiecheng Yao, Lei Ding, Jiazhen Wang
School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, 210042, China
With the widespread use of smart appliances, the optimization of electricity consumption behavior has become an important research content for residential smart electricity consumption. Considering the economy and comfort of electricity consumption, we propose an optimization model of users' electricity consumption behavior under the intelligent electricity consumption environment. Firstly, we model the operation characteristics of household load equipment, establish different comfort evaluation indexes for different household loads, and add the influence of the number of interruptions on users' comfort to the comfort evaluation indexes of interruptible loads; then, based on the time-sharing tariff, we propose an optimized operation model of residential smart electricity equipment with the goals of economy and residents' comfort; finally, through Matlab simulation experimental cases. It is verified that arranging a reasonable number of interruptible load interruptions achieves the purpose of reducing residential electricity consumption costs while safeguarding customer comfort.
Smart Power, Real-time Tariffs, Facility Operation
Xiecheng Yao, Lei Ding, Jiazhen Wang. Research on Optimal Control of Home Energy Management System Based on Real-time Tariffs. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 3: 66-72. https://doi.org/10.25236/IJFET.2022.040309.
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