671 / 2019-04-17 18:46:59
Day-Ahead Hierarchical Optimal Scheduling for Offshore Integrated Electricity-Gas-Heat Energy System Considering Wind Power Forecasting
Day-Ahead Hierarchical Optimal Scheduling,Integrated Energy System,P2G,Wind Power Consumption,Wind Power Forecasting
Draft Rejected
In order to improve the wind power consumption and ensure the economic operation of the offshore integrated energy system, a day-ahead hierarchical scheduling strategy should be formulated. Firstly, a wind power forecasting model with auto-regressive integrated moving average method is built to obtain the data. Secondly, take the total cost as the multi-energy control layer and take the wind power curtailment cost as the energy efficiency optimization layer to establish the hierarchical optimal model. And a modified particle swarm optimization algorithm is used to obtain the optimal solution. Then two schemes are proposed to explore the impact on system. Finally, a certain offshore platform in China is taken as an example to calculate. The results show that the proposed method can realize the optimal scheduling of the system. And the application of P2G technology can better accommodate wind power and greatly reduce the economic cost.
Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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