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机构地区:[1]哈尔滨工业大学深圳研究生院,广东省深圳市518055
出 处:《中国电机工程学报》2011年第16期88-95,共8页Proceedings of the CSEE
基 金:国家自然科学基金项目(50977016)~~
摘 要:针对电力采集数据故障时刻的精度问题,目前的研究多数关注于基于采集数据的故障时刻提取算法。拟从电力数据同步采集系统的具体实现过程与配置系统采样频率的角度出发,通过建立非同步子站采集系统的相位差计算模型,提出一种定量评测与提高故障时刻精度的方法。该方法分段频移校正电气传输特性引入的相移,基于子站采集系统间的相位状态估计预测故障,短时提高故障时刻前后的采样频率,从而提高故障时刻的定位精度。测量结果表明:电气传输特性引入相移与频移之间具有近似线性变化的特性,等间隔采样系统中采样频率受系统处理能力的制约。实验与仿真结果验证了文中所提出的方法,为提高电力采集系统故障时刻的精度提供了一种有效的途径。With respect to the fault time accuracy of power system, the current researches focus on fault location algorithm based on sampled data. Considering the configuration of sampling frequency and specific implementation process of synchronous data in power sampling system, a new method was proposed for quantitative evaluation and improvement the accuracy of fault time through the establishment of phase error model of sampling system between the asynchronous sub-stations. In this method, the phase-shifts by the signal transmission were compensated using phase error mean at different frequency shifts, and before and after the fault time the sampling frequency was increased in short time by predicting fault based on the phase state estimation between the sampling systems in the asynchronous sub-stations. The measurement results shows that it is the approximate linear variation characteristics between the phase-shift and frequency-shift during the process of signal transmission, and system sampling frequency is limited by processing capacity of gamplirtng gyatem using the uniformly interval sampling. The proposed method is proved through the experiment and simulation, and it can provide an effective way to improve the fault time accuracy of power sampling system.
关 键 词:电力采集系统 故障时刻 电气传输特性 采样频率 相位状态估计 同步精度
分 类 号:TM71[电气工程—电力系统及自动化]
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