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Multi-time Scale Dispatching for Integrated Energy Park Considering Energy Transfer Behavior
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College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China

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    Abstract:

    The operation control of the integrated energy park(IEP)should take into account the interests of multiple market subjects. According to the demand of energy supply of different types of parks, this paper proposes a multi-time scale optimal scheduling strategy for IEP that combines day-ahead dispatching and real-time dispatching considering user demands. Firstly, the basic framework of IEP is established including intelligent power management unit, power-gas coupling combined supply unit, electric vehicle(EV)charging unit and user power-cold energy dispatching unit, and the operation methods of the park in the market environment are analyzed. Secondly, this paper establishes a non-cooperative game model with the goals of operator profit and user evaluation in the day-ahead dispatching to determine energy prices and energy usage arrangements of IEP. Thirdly, aiming at the problem of forecasting error in day-ahead dispatching, the real-time energy deviation coping model which includes energy transfer behavior and meets different types of energy demands of users is constructed in real-time dispatching. Finally, the micro energy network with a 14-node distribution network and a 7-node natural gas pipeline network is simulated as a scene to verify the effectiveness of the proposed model. The result shows that the multi-time scale optimal scheduling strategy can improve the economic benefits of multi-market participants in the park, as well as the feasibility of considering the diversified energy demands of users.

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LI Tingjun, HAN Xiaoqing,DU Xinhui.Multi-time Scale Dispatching for Integrated Energy Park Considering Energy Transfer Behavior[J].Automation of Electric Power Systems,2019,43(23):164-172.DOI:10.7500/AEPS20190516003

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History
  • Received:May 16,2019
  • Revised:August 01,2019
  • Adopted:June 02,2019
  • Online: November 07,2019
  • Published: