基于实时网络的电力自动化系统稳定信号精密调节分析

Precision Regulation Analysis of Power Automation System Stability Signal Based on Real-time Network

针对传统电力自动化系统稳定信号精密调节分析方法主网控制性较弱的问题,提出一种基于实时网络的电力自动化系统稳定信号精密调节分析方法,通过LHS技术采样与排序电力自动化系统稳定信号,并通过Cholesky分解方法分解稳定信号,对稳定信号变量样本矩阵F中的负荷样本变量实施相关性误差处理,基于实时网络建立电力自动化系统稳定信号精密调节分析模型,实现电力自动化系统稳定信号的精密调节分析,模型中的稳定信号样本数据来自稳定信号变量样本矩阵F。为了验证该方法的主网控制性较强,与传统电力自动化系统稳定信号精密调节分析方法一起进行对比实验,实验结果证明基于实时网络的电力自动化系统稳定信号精密调节分析方法的主网控制性优于传统方法,说明该方法更适用于稳定信号的精密调节分析。

Aiming at the problem of weak control of main network in traditional precise regulation analysis method of power automation system stability signal,a precise regulation analysis method of power automation system stability signal based on real-time network is proposed.The stable signal of power automation system is sampled and sequenced by LHS technology,and the stable signal is decomposed by Cholesky method.Decomposition of stable signal,correlation error processing of load sample variables in sample matrix of stable signal variables,establishment of precise regulation analysis model of power automation system stability signal based on real-time network,realization of precise regulation analysis of power automation system stability signal,sample data of stable signal in the model come from Stabilize the sample matrix of signal variables.In order to verify the strong control of the main network of the method,a comparison experiment is carried out with the traditional precise adjustment analysis method of power automation system stability signal.The experimental results show that the main network control of the precise adjustment analysis method of power automation system stability signal based on real-time network is better than the traditional method,which shows that the method is more suitable.It is used for precise adjustment and analysis of stable signals.