基于大数据驱动的电压暂降损失评估方法研究

Research on Loss Assessment Method for Voltage Sag Based on Big Data Drive

电压暂降导致用户用电质量下降,从经济性角度出发,分析线路电压暂降历史数据,对电压暂降引起的经济损失进行评估。建立电压暂降耐受曲线模型,用正态分布概率密度函数表示设备参数可能性。根据线路的电压暂降历史数据,分析获得电压暂降累计时间概率分布,并基于所得数据,建立设备跳闸概率估计模型。在设备发生单次跳闸时的最大损失基础上,建立了电压暂降损失评估方法。最后算例分析表明,所提出的方法使得评估方法快捷准确,并符合实际情况,有效地评估了电压暂降的损失程度。

The voltage sag causes the users′power quality to decline.From the economic point of view,the historical data of line voltage sag is analyzed,and the economic loss caused by voltage sag is evaluated.A voltage sag tolerance curve model is established,and the device parameter probability is represented by a normal distribution probability density function.According to the historical data of voltage sag of the line,the cumulative time probability distribution of the voltage sag is obtained.Based on the obtained data,a device trip probability estimation model is established.Based on the maximum loss of the device in the event of a single trip,a loss assessment method for voltage sag is established.The example analysis shows that the proposed method makes the evaluation fast and accurate,and accords with the actual situation,and effectively evaluates the voltage sag loss.