王爽,秦安琪,陈贻威,吴雄,唐波
WANG Shuang,QIN Anqi,CHEN Yiwei,WU Xiong,TANG Bo

• 1:三峡大学电气与新能源学院
• 2:新能源微电网湖北省协同创新中心(三峡大学)
• 3:西安交通大学电气工程学院

摘要(Abstract)：

为降低系统用氢成本，考虑碳排放量和源荷不确定性对成本的影响，建立了考虑源荷不确定性和氢能多元产用的HIES（含氢综合能源系统）优化调度模型。首先，在含电转气和碳捕集的传统HIES中引入气制氢和氢能多元利用设备，构建氢能多元产用的HIES模型；其次，以总成本最低为目标建立确定性场景下的系统调度模型；接着，针对风光和负荷的不确定性，利用熵权法确定IGDT（信息间隙决策理论）中不确定因素的偏差系数权重，构建了基于IGDT的调度模型。最后，算例结果验证了所提模型可以降低系统的碳排放以及运行总成本，可为决策者处理HIES的不确定性因素提供参考。
To reduce the hydrogen utilization cost of the system and account for the impact of carbon emissions and source-load uncertainty on costs, an optimal scheduling model for hydrogen-integrated energy systems(HIES) is established, which considers source-load uncertainty and diversified hydrogen production and utilization. Firstly, gasto-hydrogen units and diversified hydrogen utilization equipment are introduced into traditional HIES comprising power-to-gas and carbon capture systems to construct an HIES model featuring diversified hydrogen production and utilization. Secondly, a deterministic system scheduling model is formulated with the objective of minimizing the total cost. Subsequently, to address the uncertainties associated with wind/photovoltaic power and load, the entropy weight method(EWM) is employed to determine the weighting coefficients for the deviation of uncertain factors in the information gap decision theory(IGDT), leading to the development of an IGDT-based scheduling model. Case study results demonstrate that the proposed model can effectively reduce both the system's carbon emissions and total operating cost, providing a reference for decision-makers in handling uncertainties within HIES.

关键词(KeyWords)： 源荷不确定性;含氢综合能源系统;氢能多元产用;熵权法;信息间隙决策理论
source-load uncertainty;HIES;diversified hydrogen production and utilization;EWM;IGDT

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52477120)

作者(Author): 王爽,秦安琪,陈贻威,吴雄,唐波
WANG Shuang,QIN Anqi,CHEN Yiwei,WU Xiong,TANG Bo

DOI: 10.19585/j.zjdl.202602005

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