考虑多重不确定性的垃圾焚烧热电联产电厂日前鲁棒申报策略
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(华北电力大学经济与管理学院,北京 102200)

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赵会茹(1963—),女,博士,教授,博士生导师,主要研究方向为电力市场理论及应用;E-mail: zhaohuiru@ ncepu.edu.cn 王学杰(1993—),男,通信作者,博士研究生,主要研究方向为电力市场理论与应用;E-mail: wangxuejie155@ 163.com 斯琴卓娅(1992—),女,博士研究生,主要研究方向为电力市场理论及应用。E-mail: sqzhuoya@163.com

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国家自然科学基金项目资助(71973043)


Day-ahead robust offering strategy of waste-to-energy combined heat and power plant considering multiple uncertainties
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School of Economic and Management, North China Electric Power University, Beijing 102200, China

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    摘要:

    垃圾焚烧电厂是处理固体废弃物的主要方式之一,并且越来越多的垃圾焚烧电厂具有热电联产模式,既可以在电力市场出售电能,又能为相邻区域供热。基于此,在考虑日前电力市场价格和固体废弃物来量不确定性的前提下,构建了垃圾焚烧热电联产电厂的两阶段鲁棒申报模型。该模型可以在最坏场景下保证垃圾焚烧热电联产电厂的预期收益最大化。为了对模型进行求解,引入Benders分解将该模型分解为易求解的主问题和子问题。最后,算例仿真结果表明,该模型可以帮助运营商制定经济合理的电能申报策略。并通过对比分析和敏感性分析验证了该模型的优越性与适用性。

    Abstract:

    Using waste-to-energy plant is one of the main ways of dealing with solid waste. More and more waste-to-energy plants have a combined heat and power model. Plants in this model both heat adjacent areas and sell electricity in the electricity market. Based on this, a two-stage robust trading strategy model of a waste-to-energy combined heat and power (WTE-CHP) plant is constructed considering the uncertainty of the day-ahead market price of electricity and the amount of solid waste. The model can ensure that the expected benefits of WTE-CHP plant are maximized under the worst-case scenario. In order to analyze the model, Benders decomposition is introduced to decompose the model into easy-to-solve main problems and sub-problems. Finally, simulation results show that the model can help operators to formulate economical and reasonable power trading strategies. The superiority and applicability of the model are verified by comparative and sensitivity analysis.

    This work is supported by the National Natural Science Foundation of China (No. 71973043).

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赵会茹,王学杰,斯琴卓娅.考虑多重不确定性的垃圾焚烧热电联产电厂日前鲁棒申报策略[J].电力系统保护与控制,2023,51(4):104-113.[ZHAO Huiru, WANG Xuejie, SIQIN Zhuoya. Day-ahead robust offering strategy of waste-to-energy combined heat and power plant considering multiple uncertainties[J]. Power System Protection and Control,2023,V51(4):104-113]

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  • 收稿日期:2022-06-18
  • 最后修改日期:2022-09-03
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  • 在线发布日期: 2023-02-24
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