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Stochastic optimization scheme of power cost in intelligent community with energy storage
ID：104 View Protection：ATTENDEE Updated Time：2022-05-16 18:17:57 Hits：439 Poster Presentation

Start Time：Pending（Asia/Shanghai）

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Abstract
In this paper, we aim to improve the utilization rate of renewable energy, and reduce the power consumption cost of intelligent community with the help of energy storage units. Considering the stochastic characteristics of the renewable energy and the load demand, we formulate a stochastic optimization problem to minimize the time average power cost while meeting the maximum delay demand. Using Lyapunov stochastic optimization theory, we first transform the NP-hard stochastic optimization problem into a series of linear optimization problems, in which the allocation strategy of elastic load is optimized for each time slot. Simulation results show that our proposed approach can effectively reduce the time average cost of power consumption.
Keywords
Smart grid; Energy storage;Renewable energy; Lyapunov optimization; Energy management system
Speaker
WangXin
student 青岛大学

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Important Date

  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

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IEEE Beijing Section
China Electrotechnical Society
Southeast University
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IEEE Industry Applications Society
IEEE Nanjing Section
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