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Intelligent Power Quality Analyzer

机译:智能电能质量分析仪

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摘要

The latest studies, concerning power quality problem, discussed in some prodigious international conferences, follow three main directions: 1. quality indicators analysis, surveying program realization and quality evaluation systems development; 2. evaluating the negative effects due to exceeding the limits imposed by international standards; 3. elaborating efficient technical, managerial, contractual and juridical measures, in order to insure keeping the indicators values between the limits provided by standards. Power systems analysis is very difficult due to network complexity growth and due to the simultaneous presence of some regimes, which can be considered as disturbances. The first step of modern three-phase power networks adaptive and intelligent control consists in developing accurate models of input signals. The following step is to establish the appropriate correlation between the input signal parameters and the acquisition hardware in order to perform valid interpretation of data sets (that is to identify accurately specific disturbances as harmonics and inter-harmonics). We can identify two major approaches to do so: numerical and spectral methods. The final step denotes the decision stage in order to compensate the negative effects of identified disturbances. This paper describes the design process of hardware and software primitives in order to implement an intelligent power quality analyzer, able to control the acquisition hardware to perform coherent sampling and to compute specific network state parameters.
机译:在一些国际会议上讨论的有关电能质量问题的最新研究遵循三个主要方向:1.质量指标分析,测量程序实现和质量评估系统开发; 2.评估由于超出国际标准规定的限制而产生的负面影响; 3.制定有效的技术,管理,合同和司法措施,以确保指标值保持在标准规定的限度之间。由于网络复杂性的增长以及某些状态的同时存在,电力系统分析非常困难,这可以被视为干扰。现代三相电网自适应和智能控制的第一步在于开发精确的输入信号模型。下一步是在输入信号参数和采集硬件之间建立适当的相关性,以便对数据集进行有效的解释(即准确地将特定的干扰识别为谐波和间谐波)。我们可以确定这样做的两种主要方法:数值方法和频谱方法。最后一步表示决策阶段,以补偿已识别干扰的负面影响。本文介绍了硬件和软件原语的设计过程,以实现智能电能质量分析仪,能够控制采集硬件以执行相干采样并计算特定的网络状态参数。

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