基于非线性优化算法的电力系统状态估计技术研究

Research on Technology of Power System State Estimation Based on Nonlinear Optimization Algorithm

海上油田电网的安全运行直接影响着我国海上油气生产企业的稳定运行,通过了解状态估计的功能和研究现状,结合海洋石油生产电网的实际情况,提出了一种基于非线性优化算法的状态估计算法。基于状态估计的基本原理和流程,包括目标函数、约束条件的建立以及原-对偶内点算法的求解,采用了状态估计中不良数据检测与识别的计算方法,通过软件模块程序实现状态估计结果的求解。结合实际算例对比分析,得出了在正常情况下、不检测不良数据情况下、系统分裂运行情况下的状态估计结果与系统状态,为实现电力系统状态估计提供了高可靠性、高可信的数据,为电力系统调度中心电网运行状态分析提供参考。

The safe operation of offshore oil field power grid directly affects the stable operation of China's offshore oil and gas production enterprises.By understanding the function and research status of state estimation,it proposes a state estimation algorithm based on nonlinear optimization algorithm combined with the actual situation of offshore oil production power grid.Based on the basic principle and process of state estimation,including the establishment of objective function and constraint conditions and the solution of primal dual interior point algorithm,it adopts the importance and common methods of bad data detection and identification in state estimation,and realizes the solution of state estimation results through software module program.Combined with the comparative analysis of practical examples,the state estimation results and system state under normal conditions,without detecting bad data and system split operation are obtained,it provides high reliable and reliable data for the realization of power system state estimation.It provides reference for the power system dispatching center to analyze the power grid operation state.