Intelligent Path Modeling for Large-Scale Multi-energy Microgrid Considering Demand-side Management

Hongyu Zhu, H. Goh, Tianhao Liu, Hang Dai, Dongdong Zhang, Thomas Wu
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Abstract

The energy microgrid couples multiple energy sources to effectively improve energy utilization efficiency and reduce carbon emissions. This paper takes the large-scale multi-energy microgrid as the research object. In order to solve the complexity of its physical model construction, an intelligent path modeling method is proposed. This method can automatically detect the energy flow path in the microgrid system, obtain the coupling matrix in the complex network, effectively reduce the error rate of manual modeling, and eliminate the structural nonlinearity caused by the coupling factors of the system. Then, this article comprehensively considers demand response and multi-energy storage technology, and conducts optimal dispatching research on large-scale energy microgrids. Numerical simulation shows the effectiveness and practicability of the model.
考虑需求侧管理的大型多能微电网智能路径建模
能源微网对多种能源进行耦合,有效提高能源利用效率,减少碳排放。本文以大型多能微电网为研究对象。为了解决其物理模型构建的复杂性,提出了一种智能路径建模方法。该方法可以自动检测微网系统中的能量流路,获得复杂网络中的耦合矩阵,有效降低人工建模的错误率,消除系统耦合因素引起的结构非线性。然后,综合考虑需求响应和多储能技术,对大型能源微电网进行优化调度研究。数值仿真结果表明了该模型的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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