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Assessment of automatic generation control performance of power generation units based on amplitude changes

机译:基于幅度变化的发电机组自动发电控制性能评估

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Automatic generation control (AGC) is an important auxiliary service provided by power generation units, such that generated active powers closely follow the changes of desired active powers as required by power grids. This paper proposes a new method to assess the AGC performance of a power generation unit by comparing amplitude changes of generated and desired active powers. Time sequences of generated and desired active powers are separated into short straight lines, from which their amplitude changes are obtained. If the difference between amplitude changes of generated and desired active powers are larger than the threshold of significant amplitude changes, then the performance is regarded to be unsatisfactory. As a critical parameter, the significant threshold of amplitude changes is determined by a relationship between the amplitude change and a so-called R-squared statistic. An alarm variable is introduced to indicate the performance status, and a performance index is formulated as the sample mean of the alarm variable. The unsatisfactory performance is classified into six abnormal scenarios based on the amplitude changes for a further analysis. Industrial examples are provided to illustrate the effectiveness of the proposed method.
机译:自动发电控制(AGC)是由发电单元提供的重要辅助服务,因此,所产生的有功功率紧随电网要求的所需有功功率的变化。本文提出了一种通过比较产生的有功功率和所需有功功率的幅度变化来评估发电设备的AGC性能的新方法。产生的和期望的有功功率的时间序列被分成短的直线,从中可以得到它们的幅度变化。如果所产生的有功功率与所需有功功率的幅度变化之间的差大于明显幅度变化的阈值,则认为性能不能令人满意。作为关键参数,幅度变化的重要阈值由幅度变化和所谓的R平方统计量之间的关系确定。引入警报变量以指示性能状态,并且将性能指标公式化为警报变量的样本平均值。根据振幅变化将性能不满意的情况分为六个异常情况,以进行进一步分析。提供工业实例以说明所提出方法的有效性。

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