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1746 / 2020-10-01 13:47:28
Day-ahead optimal dispatch of integrated energy system considering wind power forecasting and integrated demand response
EGHC-IES, energy hub model, P2G, multi-energy flow calculation, demand response, energy storage
Power System and Automation > Renewable and sustainable energy applications
终稿
Shaoqi Yu / Xi'an Jiaotong University；School of Electronic Engineering
Shuhe Yan / Xi'an Jiaotong University
Xingyang Liu / Xi'an Jiaotong University
Bin Liu / Xi'an Jiaotong University
Chang Xiong / Xi'an Jiaotong University
Jiachen Liu / Xi'an Jiaotong University
Due to natural conditions in northern China, heat power is the main energy supply, and there is a large proportion of wind power connected to the grid. During the heating period in winter, combined heat and power (CHP) unit operates in the “determining power generation by heat” mode, which coincides with the time when wind power is abundant, resulting in serious wind abandonment in the system. Aiming at the uncertainty of wind power output, this paper uses Autoregressive Moving Average model (ARMA) model and Latin hypercube sampling to generate a large number of scenes, and K-means clustering algorithm to form typical scene sets. Considering the structure of the distribution network and the gas network, a multi-energy flow calculation model is established. Based on the energy hub model, a day-ahead optimal dispatch model of the Electricity-Gas-Heat-Cooling Integrated Energy System (EGHC-IES) is established, taking into account the comprehensive demand response on the user side, wind power output forecast and energy storage. The results of the case studies shows that the optimized dispatching solution can promote the consumption of renewable energy and improve energy efficiency.

 
重要日期

  • 会议日期

    11月02日

    2020

    至

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
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