考虑碳源负荷不确定性的综合能源系统两阶段稳健优化

IF 2.8 4区 工程技术 Q2 ENGINEERING, CHEMICAL Processes Pub Date : 2024-09-06 DOI:10.3390/pr12091921
Na Li, Boyuan Zheng, Guanxiong Wang, Wenjie Liu, Dongxu Guo, Linna Zou, Chongchao Pan
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引用次数: 0

摘要

综合能源系统(IES)将各种能源网络互连起来,以实现异构能源子系统之间的协调规划和优化运行,因此成为当前能源研究的热门话题。然而,随着可再生能源的高度集成,其波动特性给整个系统带来了不确定性,包括相应的电力间接碳排放。针对这些问题,本文构建了一个从日前到日内的两阶段三层稳健优化 IES 运行模型。该模型分析了并网节点碳排放强度的不确定性,以及光伏、风力涡轮机、制冷、制热和电力负荷的不确定性特征,并使用多面体不确定性集进行了表达。它规范了 IES 中内部设备的建模,引入了碳排放交易机制,并构建了低碳经济模型,将目标函数和约束条件转化为紧凑的形式。应用列和约束生成算法将三层模型转化为单层主问题和两层子问题,进行迭代求解。利用卡鲁什-库恩-塔克(KKT)条件将两层子问题转化为线性规划模型。对一个公园进行的案例研究表明,与确定性优化相比,不确定性优化的引入增加了系统成本和碳排放量,但调度策略更加稳定,大大降低了不确定性对系统的影响。此外,与只考虑源负荷不确定性的方案相比,建议的策略降低了 5.03% 的总成本和 1.25% 的碳排放量,充分验证了建议的方法提高了系统的经济性和低碳性能。
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Two-Stage Robust Optimization of Integrated Energy Systems Considering Uncertainty in Carbon Source Load
Integrated Energy Systems (IESs) interconnect various energy networks to achieve coordinated planning and optimized operation among heterogeneous energy subsystems, making them a hot topic in current energy research. However, with the high integration of renewable energy sources, their fluctuation characteristics introduce uncertainties to the entire system, including the corresponding indirect carbon emissions from electricity. To address these issues, this paper constructs a two-stage, three-layer robust optimization operation model for IESs from day-ahead to intra-day. The model analyzes the uncertainties in carbon emission intensity at grid-connected nodes, as well as the uncertainty characteristics of photovoltaic, wind turbine, and cooling, heating, and electricity loads, expressed using polyhedral uncertainty sets. It standardizes the modeling of internal equipment in the IES, introduces carbon emission trading mechanisms, and constructs a low-carbon economic model, transforming the objective function and constraints into a compact form. The column-and-constraint generation algorithm is applied to transform the three-layer model into a single-layer main problem and a two-layer subproblem for iterative solution. The Karush–Kuhn–Tucker (KKT) condition is used to convert the two-layer subproblem into a linear programming model. A case study conducted on a park shows that while the introduction of uncertainty optimization increases system costs and carbon emissions compared to deterministic optimization, the scheduling strategy is more stable, significantly reducing the impact of uncertainties on the system. Moreover, the proposed strategy reduces total costs by 5.03% and carbon emissions by 1.25% compared to scenarios considering only source load uncertainty, fully verifying that the proposed method improves the economic and low-carbon performance of the system.
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来源期刊
Processes
Processes Chemical Engineering-Bioengineering
CiteScore
5.10
自引率
11.40%
发文量
2239
审稿时长
14.11 days
期刊介绍: Processes (ISSN 2227-9717) provides an advanced forum for process related research in chemistry, biology and allied engineering fields. The journal publishes regular research papers, communications, letters, short notes and reviews. Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.
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