A conditional value-at-risk based two stage day-ahead dispatch model for integrated energy systems
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(1. Yugan Power Supply Company, State Grid Jiangxi Electric Power Co., Ltd., Shangrao 335100, China;2. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

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TM734;TK91

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    Abstract:

    CCHP-MG has important application value to improve energy efficiency and achieve the goal of double carbon. At the same time, the complexity and uncertainty of resource aggregation also bring challenges to its operation optimization. Based on this, a two-stage scheduling model of CCHP-MG considering the uncertainty of wind and solar output is constructed. In the day ahead stage, the operation strategy of each equipment of the integrated energy system is optimized with the lowest operation cost as the goal,the scenario method is used to deal with the uncertainty of wind and solar output, and the system operation risk is objectively quantified based on the conditional value at risk method. Within the day, the predicted value of the wind and rain is more accurate, and the output of some equipment is adjusted to stabilize the power deviation of the tie line, so as to ensure the safe and stable operation of the power grid as much as possible while ensuring the economy. Finally, an integrated energy system is taken as an example to verify the effectiveness of the model.

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胡惊涛,吕飞春,张文涛,胡 东,武 旭.基于条件风险价值的综合能源系统日前-日内两阶段调度模型[J].电力需求侧管理英文版,2023,25(2):43-49.

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History
  • Received:October 27,2022
  • Revised:December 01,2022
  • Adopted:
  • Online: March 22,2023
  • Published:
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