基于动态偏差IGDT的综合能源系统协调优化策略
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(1.三峡大学电气与新能源学院 ,湖北 宜昌 443002;2.四川明星电力股份有限公司 ,四川 遂宁 629000)

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通讯作者:

王灿(1987—),男,博士,副教授,博士生导师,从事综合能源系统优化运行、微电网协调控制与优化运行、高比例新能源电力系统运行与控制等研究;E-mail:xfcancan@163.com

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TM73

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国家自然科学基金(52107108)


Coordinated optimization strategy of integrated energy system based on dynamic deviation IGDT
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(1. College of Electrical Engineering and New Energy , China Three Gorges University , Yichang 443002, China; 2. Sichuan Mingxing Electric Power Co ., Ltd., Suining 629000, China)

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    摘要:

    为提高系统风电消纳率,降低氢能利用成本和系统碳排放量,提出一种基于动态偏差信息间隙决策理论(information gap decision theory,IGDT)的综合能源系统 (integrated energy system,IES)协调优化策略。首先,在IES中引入混合制氢和富氧燃烧捕集系统,并构建含混合制氢和富氧燃烧捕集系统的 IES模型;其次,以总运行成本最低为目标,建立确定性场景下的系统调度模型;再次,针对在处理风荷不确定性问题中传统 IGDT决策模型表现出过于保守的问题,提出了基于动态偏差的 IGDT决策模型;最后,通过算例结果验证了所提策略能有效提高系统总体经济性,实现了系统低碳经济协调运行。

    Abstract:

    To improve the wind power accommodation rate and reduce the cost of hydrogen energy use and system-level carbon emissions,this paper proposes a coordinated optimization strategy for an integrated energy system (IES) based on information gap decision theory (IGDT) with dynamic deviation.First,a hybrid hydrogen production system and an oxy-fuel combustion capture system are introduced into the IES,and an IES model incorporating the hybrid hydrogen production and oxy-fuel combustion capture system is constructed.Second,a system scheduling model for deterministic scenarios is established with the objective of minimizing the total operating cost.In addition,an IGDT decision model based on dynamic deviation is proposed to address the issue that the traditional IGDT decision model is overly conservative when dealing with wind load uncertainty.Finally,the results verify that the proposed strategy effectively improves the overall economic performance of the system,achieving coordinated low-carbon economic operation of the system.

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引用本文

冉华军,杨代强,甘友春,等.基于动态偏差IGDT的综合能源系统协调优化策略[J].电力科学与技术学报,2026,41(1):194-204.
RAN Huajun, YANG Daiqiang, GAN Youchun, et al. Coordinated optimization strategy of integrated energy system based on dynamic deviation IGDT[J]. Journal of Electric Power Science and Technology,2026,41(1):194-204.

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  • 收稿日期:2024-12-18
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  • 在线发布日期: 2026-02-11
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