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Partitional Decoupling Method for Fast Calculation of Energy Flow in a Large-Scale Heat and Electricity Integrated Energy System
IEEE Transactions on Sustainable Energy ( IF 8.6 ) Pub Date : 2020-07-09 , DOI: 10.1109/tste.2020.3008189
Suhan Zhang , Wei Gu , Shuai Yao , Shuai Lu , Suyang Zhou , Zhi Wu

Wide development of the heat and electricity integrated energy system (HE-IES) has provided flexible multi-energy optimization management, which improves energy efficiency and benefits the environment. It is essential to calculate energy flow quickly, accurately, and reliably as the system scale and complexity increase. To handle this problem, we propose a partitional decoupling method based on a decomposed energy flow model for the large-scale HE-IES. The computation mechanisms are presented considering various system scales and topologies, which consist of decoupling mode to solve the non-convergence caused by hydraulic initialization and the iteration mode to correct the variables at common nodes of decoupled systems. Moreover, a unit conversion method is introduced to solve the non-convergence problem in energy flow calculation under extreme scenarios. Case studies show that the proposed method provides accurate energy flow calculations with higher efficiency regardless of system scale and topology, especially in looped systems. Numerical simulation further verifies the effectiveness of the proposed method for non-convergence.

中文翻译:


大规模热电一体化能源系统能量流快速计算的分区解耦方法



热电一体化能源系统(HE-IES)的广泛发展,提供了灵活的多能源优化管理,提高了能源效率,有利于环境。随着系统规模和复杂性的增加,快速、准确、可靠地计算能量流至关重要。为了解决这个问题,我们提出了一种基于大规模 HE-IES 分解能量流模型的分区解耦方法。考虑到不同的系统规模和拓扑结构,提出了计算机制,其中包括解决水力初始化引起的不收敛的解耦模式和校正解耦系统公共节点变量的迭代模式。此外,引入单位转换方法来解决极端场景下能量流计算的不收敛问题。案例研究表明,无论系统规模和拓扑如何,所提出的方法都能以更高的效率提供准确的能量流计算,特别是在循环系统中。数值仿真进一步验证了该方法对于不收敛问题的有效性。
更新日期:2020-07-09
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