基于时间序列线性大数据分析的电力系统潮流计算方法

Power Flow Calculation Method Based on Time Series Linear Big Data Analysis

针对原有电力系统潮流计算方法精准程度低下的问题,设计基于时间序列线性大数据分析的电力系统潮流计算方法。依据系统调频的相关特性,给出电力系统潮流计算流程,分析基于时间序列线性大数据的电力系统调频特征。根据分析结果,在时间序列线性大数据基础上,建立电力系统潮流模型,完成电力系统潮流计算方法设计。利用PSASP电力系统分析综合程序,设计仿真实验,对比所设计方法与原有方法数据。实验结果表明,所设计方法计算所得节点电压幅值标准差明显小于原有方法,该方法计算精准程度较原有方法更高,说明将时间序列线性大数据分析,应用于电力系统潮流计算的方法是有效的。

Aiming at the low accuracy of the original power flow calculation method of power system, a power flow calculation method based on the linear big data analysis of time series was designed. According to the related characteristics of system frequency modulation, the power flow calculation flow of power system was given, and the frequency modulation characteristics of power system based on time series linear big data were analyzed. According to the analysis results, on the basis of time series linear big data, the power flow model of power system was established, and the power flow calculation method of power system was designed. By using the PSASP power system analysis and synthesis program, the simulation experiment was designed. By comparing the designed method with the original method, the standard deviation of the calculated node voltage amplitude was significantly lower than that of the original method. It can be seen that the method of applying time series linear big data analysis to power system power flow calculation is effective.