状态估计研究模式设计及应用

Design and Application of State Estimation Research Mode

由于实际电力系统运行工况复杂,状态估计无法避免出现不收敛的情况,反演时难以再现断面结果,在对量测方式和参数进行调整时会造成合格率指标波动,同时也会影响实时网络分析应用系统的稳定运行。分析现有状态估计运行中存在的问题及应用需求,设计实现了状态估计研究模式分析平台。首先,通过断面管理和读取功能保存状态估计计算所需的全部信息;然后,通过研究模式反演,实现断面读取、分析调试计算;最后,通过分析对比功能,为参数和量测调整提供指标参考。上述工作使得状态估计计算结果完整再现,并且分析过程独立于实时状态估计因而不影响实时合格率,自动化专业人员可以依据分析对比功能提供的指标对量测和参数问题有目标地进行分析。通过华北分中心的实际使用,证明平台功能可满足专业人员对状态估计的分析调试需求。

Because of the complexity of actual operation conditions of power systems,non-convergence is hard to be avoided in state estimation and section results are difficult to be reproduced in inversion,and the adjustment of measurement and parameters will lead to the fluctuation of the eligibility rate and affect the stable operation of the real-time network analysis application system.Based on an analysis of the existing problems and application requirements in operation of state estimation,a research mode analysis platform for state estimation is designed and implemented.Firstly,all the information needed for state estimation is saved through section management and reading function;secondly,section reading,analysis and debugging calculation are realized through researching mode inversion;finally,the indicator reference is provided for parameters and measurement adjustment through comparison function.The results of state estimation are completely reproduced,and the analysis process is independent of the real-time state estimation and thus does not affect the real-time eligibility rate.The automation professionals can analyze the measurement and parameter problems purposefully according to the indicators provided by the comparison function.Through the actual application in North China Branch Center of SGCC,it is proved that the platform's functions can meet the needs of professionals for analysis and debugging of state estimation.The analysis basis is provided through index comparison.Through the actual use of North China Branch Center,it is proved that the platform function can meet the needs of professional personnel for analysis and debugging of state estimation.