10.1集成现场背景全系统精度监测(包括电流和电压传感器)的能量测量前端

Seyed Danesh, W. Holland, J. Spalding, Michael Guidry, J. Hurwitz
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摘要

全球部署了数百万个公用事业电表,以确定可计费的能源消耗。这些设备经过工厂校准,然后在其使用寿命期间不间断地进行测量。一旦进入现场,由于元件老化和高电压/电流事件,其精度是未知的[1]。作为一种预防措施,定期更换仪表,导致不必要地更换完好的仪表,而一些不准确的仪表可能留在现场。本文提出了一种能量测量前端,可以在仪表的使用寿命期间实现连续的背景状态基监测(CbM)。至关重要的是,它监控其电压和电流传感器的性能,这通常是不准确和漂移的最大来源。在正常工作期间,将具有适应性但定义良好的特性的小测试信号(“刺激”)注入传感器。它们在前端输出的振幅然后被提取,以确定整个信号链的增益精度。为了做到这一点,该系统必须面对3个主要挑战。首先,它必须能够产生并向传感器注入高度稳定和准确的刺激信号。其次,它必须具有较宽的动态范围,以便在未知且明显较大的负载信号存在时准确提取刺激。第三,它必须包含所有数字信号处理所涉及的刺激信号的选择、提取和去除。本文描述了用于解决前两个挑战的电路技术。
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10.1 An Energy Measurement Front-End with Integrated In-Situ Background Full System Accuracy Monitoring Including the Current and Voltage Sensors
Millions of utility electricity meters are deployed globally to determine billable energy consumption. These devices are factory calibrated, and then perform measurement without interruption over their lifetime. Once in the field their accuracy is unknown due to component aging and high voltage/current events [1]. Meters are periodically replaced as a preventive measure, leading to the unnecessary replacement of perfectly good meters while some inaccurate meters may remain in field. This paper presents an energy-measurement front-end that enables continuous background Condition Base Monitoring (CbM) over the lifetime of a meter. Crucially it monitors the performance of its voltage and current sensors, which are typically the largest sources of inaccuracy and drift. During normal operation, small test signals (“stimuli”), with adaptable but well-defined characteristics are injected into the sensors. Their amplitudes at the front-end’s output are then extracted to determine the gain accuracy of the full signal chain. In order to do this, the system must meet 3 main challenges. First, it must be able to generate and inject highly stable and accurate stimuli signals into the sensors. Second, it must have a wide dynamic range in order to accurately extract the stimuli in the presence of unknown and significantly larger load signals. Third, it must incorporate all the digital signal processing involved with stimuli signal selection, extraction and removal. This paper describes the circuit techniques used to address the first two challenges.
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