基于趋势提取的火电机组负荷响应能力评价

Evaluation of load response capability of thermal power unit based on trend extraction

自动发电控制(AGC)技术是维持电力系统发电与负荷实时平衡,保证电力系统频率质量和安全运行的重要技术手段。为解决当前电网调度中心所使用的AGC性能评价方法受噪声影响大与机组出力超出目标死区无法读数的问题,提出一种新的AGC性能评价方法,通过分段线性表达技术提取机组实发功率的变化趋势,自动划分静态、动态等不同响应阶段,进而获得关键数据点计算性能指标。与现有方法相比较,基于趋势提取评价AGC性能指标的方法受噪声影响较小、评价结果更加准确。本方法可较好地解决目前性能评价方法中受噪声影响大与超出调节死区无法读数的问题,并且剔除了一次调频对AGC性能评价的影响。

Automatic generation control(AGC)is an important technology to keep the real-time balance between power generation and load and to ensure the frequency quality and safe operation of power systems.The AGC performance evaluation method currently used by the power grid dispatching center is greatly affected by noise and is unable to read key data points when the unit output was beyond target dead zone.To solve these problems,this paper proposed a new AGC performance evaluation method.By extracting the variation trend of actual unit power with piecewise linear presentation and by dividing the dynamic and static response stages automatically,the computation performance indexes of key data points were obtained.The proposed method was then compared with other existing methods.The results show that the AGC performance index evaluation method based on trend extraction is less affected by noise and is more accurate in results.The method can better solve the problem of great effect of noise and inability to read data beyond dead zones of the existing performance evaluation methods,and it can also eliminate the effect of the primary frequency modulation.