Multi-harmonic sources identification and evaluation method based on cloud-edge-end collaboration
Multi-harmonic sources identification and evaluation method based on cloud-edge-end collaboration
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DOI：
10.1016/j.ijepes.2023.109681
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发表时间：
2024-02
期刊：
影响因子：
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通讯作者：
Shulin Yin;Yuanyuan Sun;Qingshen Xu;Kaiqi Sun;Yahui Li;Lei Ding;Yang Liu
中科院分区：
文献类型：
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作者：
Shulin Yin;Yuanyuan Sun;Qingshen Xu;Kaiqi Sun;Yahui Li;Lei Ding;Yang Liu
随着分布式可再生能源、储能、柔性负荷等电力电子装置的增加，扰动源迅速增加，并分布在多个电压等级。其产生的谐波具有随机性和不确定性，海量数据对服务器的计算能力提出了很高的要求，制约了谐波源的评估，对配电网电能质量的判断产生了重要影响。为了提高配电网电能质量和谐波源评估功能，提出了一种基于云-边-端协同的多谐波源识别与评估框架。首先，在分析多电压等级谐波源评估功能需求的基础上，提出了一种新的云-边-端协同框架。其次，基于边缘计算的多级交互，提出了根据电压等级和电网运行情况执行不同服务策略的云-边-端协同谐波源评估方法。此外，所提出的新框架的工作原理与多种评估方法，包括主谐波源识别，集中多谐波源评估（CMHSE）和分层谐波源评估（HHSE）的详细描述，以显示所提出的框架完成的工作过程。最后，基于中国不同城市电网的真实的实测数据对所提方法的性能进行了验证。该方法可以有效地评估配电系统中的谐波贡献，进而为谐波治理措施提供依据。
With the increase of power electronic devices such as distributed renewable energies, energy storage, and flexible loads, the disturbance sources are rapidly raised and distributed in multiple voltage levels in the distributed network. The harmonics they produce are random and uncertain, and the massive amounts of data propose high demands on server computing capability, which restrict harmonic sources evaluation and significantly influence the judgments of the power quality in the distribution network. In order to improve the power quality and the harmonic source evaluation function of the distribution network, in this paper, a framework for multi-harmonic source identification and evaluation based on cloud-edge-end collaboration is proposed. Firstly, based on the analysis of the functional requirements harmonic sources evaluation in multiple voltage levels, a novel framework of cloud-edge-end collaboration is proposed. Secondly, the cloud-edge-end collaborative harmonic sources evaluation method which executes different service strategies according to voltage levels and grid operation based on the multi-level interaction of edge computing is proposed. Further, the working principle of the proposed novel framework with multiple evaluation methods including the dominant harmonic source identification, concentrated multiple harmonic sources evaluation (CMHSE) and hierarchical harmonic sources evaluation (HHSE) is described in detail in order to show the completed work processes of the proposed framework. Finally, the performance of the proposed method is verified based on the real data measured from different realistic urban power grids in China. The proposed method can effectively evaluate harmonic contributions in distribution systems and in turn provide a basis for harmonic mitigation measures.