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• W4214745673 endingPage "107870" @default.
• W4214745673 startingPage "107870" @default.
• W4214745673 abstract "In this paper, we endeavor to address the problem of dynamic energy scheduling scheme for end-users with storage devices in smart grid. An end-user with an energy storage device is developed, which draws energy from multiple energy sources: local energy suppliers and external power grid. Our goal is to minimize the end-user’s total costs (including energy usage cost and storage cost) over long-term time under uncertainty (time-varying electricity price, uncertain energy output and demand). Concerning the energy storage cost, the resulting problem is modeled as a stochastic optimization case. Following this trend, based on the improved Lyapunov optimization, a dynamic energy scheduling algorithm with lower complexity is developed. It is theoretically proved that the proposed algorithm can make the optimization target asymptotically close to optimum. Simulation results are given to demonstrate that proposed algorithm can significantly save total costs than existing schemes where energy scheduling without the energy storage cost constraint." @default.
• W4214745673 created "2022-03-02" @default.
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• W4214745673 date "2022-07-01" @default.
• W4214745673 modified "2023-10-14" @default.
• W4214745673 title "Dynamic energy scheduling for end-users with storage devices in smart grid" @default.
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• W4214745673 doi "https://doi.org/10.1016/j.epsr.2022.107870" @default.
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