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核研究反应堆电气系统的综合电能质量性能评估。

Comprehensive power quality performance assessment for electrical system of a nuclear research reactor.

机构信息

Nuclear Safety and Radiation Emergencies Research Department, NCRRT, Egyptian Atomic Energy Authority, Cairo, Egypt.

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Nasr City, Cairo, 1427, Egypt.

出版信息

Sci Rep. 2023 Jun 19;13(1):9915. doi: 10.1038/s41598-023-36692-2.

DOI:10.1038/s41598-023-36692-2
PMID:37337023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10279760/
Abstract

Studying the power quality (PQ) is an essential issue to ensure the safe and accurate operation of sensitive equipment particularly for nuclear installations. Assessment of PQ involves collecting and analysing data resources and then evaluating it with reference to PQ standards. There are many alternatives for PQ and it is difficult to make an appropriate selection among them in the existence of their multiple criteria which are usually conflicted. So this selection subject can be classified as a Multi Criteria Decision Making (MCDM) problem. To do so, a reliable and scientific method for studying and evaluating the overall system PQ is required. This study aims to assess performance of PQ for the electrical power system at a Nuclear Research Reactor (NRR) during a certain period using multiple measures for the most decisive PQ phenomena. It focuses on a number of the most important PQ phenomena namely frequency fluctuation (deviation), unbalances of current and voltage, current and voltage harmonic distortion, flicker and power factor. After combining all results into six samples (alternatives), the criteria weights are determined based on an objective method for weighting which is called CRITIC method. Then, the alternatives are ranked using compromise MCDM method-VIKOR method. The obtained results are analyzed and discussed to evaluate performance of NRR electrical system from the PQ view. It showed that the compromise solution that obtained by CRITIC-VIKOR can be a guide to facilitate the PQ evaluation of nuclear installation electrical system. Also, it can empower the operators with the benefits of benchmarking and monitoring a single index instead of several indices. Moreover, it is very useful for helping stakeholders to understand how the PQ performance changes under a certain operating condition of the facility. Finally, it is can be considered as a good model to weight each PQ phenomena and identify the time intervals for best and worst total PQ in NRR.

摘要

研究电能质量(PQ)对于确保核设施等敏感设备的安全和准确运行至关重要。PQ 的评估涉及收集和分析数据资源,然后参考 PQ 标准进行评估。PQ 有多种选择,在存在多个通常相互冲突的标准的情况下,很难从中做出适当的选择。因此,这种选择可以归类为多准则决策(MCDM)问题。为此,需要一种可靠和科学的方法来研究和评估整个系统的 PQ。本研究旨在使用多种措施评估核研究堆(NRR)电力系统在某一时期的 PQ 性能,以评估最具决定性的 PQ 现象。它侧重于一些最重要的 PQ 现象,即频率波动(偏差)、电流和电压不平衡、电流和电压谐波失真、闪烁和功率因数。将所有结果组合成六个样本(备选方案)后,根据称为 CRITIC 方法的客观权重方法确定标准权重。然后,使用妥协型 MCDM 方法-VIKOR 方法对备选方案进行排名。对获得的结果进行分析和讨论,以从 PQ 角度评估 NRR 电气系统的性能。结果表明,CRITIC-VIKOR 获得的妥协解可以作为指导,方便对核设施电气系统的 PQ 进行评估。此外,它还可以使操作人员受益于基准测试和监控单个指标,而不是多个指标。此外,它对于帮助利益相关者了解设施在特定运行条件下的 PQ 性能变化非常有用。最后,它可以被视为一种很好的模型,可以为每个 PQ 现象加权,并确定 NRR 中总 PQ 最佳和最差的时间间隔。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/34a9e5d3276a/41598_2023_36692_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/34a9e5d3276a/41598_2023_36692_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/04657210f5ac/41598_2023_36692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/ab0bd6e1398d/41598_2023_36692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/372974856e8f/41598_2023_36692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/355cd8c57803/41598_2023_36692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/4d76884cb009/41598_2023_36692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/79371668d7a2/41598_2023_36692_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/4052945dc596/41598_2023_36692_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/9a46296cd28e/41598_2023_36692_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/0089b44cb5e9/41598_2023_36692_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/cebb72ad0d7c/41598_2023_36692_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/16fa4fd5d6e9/41598_2023_36692_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c4/10279760/34a9e5d3276a/41598_2023_36692_Fig12_HTML.jpg

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