摘要
针对频域法双端测距原理存在可利用频带较窄,各谐波未赋予合适权重的不足,提出了基于频域故障测距的优化算法。该算法首先基于线路的分布参数模型,把输电线路的长度、电阻、电感电容等参数作为待测识别参数,建立线路故障网络相应的频谱方程;继而提取故障暂态电流电压丰富的频谱信息,并引入了归一化因子选择各谐波误差的权重,构造优化目标函数;最后采用模拟退火算法进行最优计算。该算法不仅不受线路参数的测量误差影响,而且能全面合理的利用所提取的频谱信息。EMPT仿真表明该算法具有较高的测量精度。
As to the demerits of frequency domain fault location based on two terminal unsynchronized data, which has narrow frequency band available and ignores the appropriate weight of harmonic waves, a new optimization location algorithm for EHV long transmission line is pro- posed based on frequency domain. First of all, the line length, resistance, inductance and capacitance of transmission line are taken as the pa- rameters that need to be identified. Equations of frequency domain fault location are built based on distributed parameter line model. The algo- rithm generates an optimal objective function setting with different spectrums of the fault transient voltage and current and leading normalized factor into choosing the appropriate weight of harmonic waves. The system is solved by simulated annealing (SA) algorithm. The fault location algorithm ensures its accuracy by not only keeping away from the affection of the parameters, but also takes full advantage of different spectrums. Theoretical analysis and EMTP simulation results show the high accuracy of the proposed algorithm.
出处
《世界科技研究与发展》
CSCD
2012年第6期935-938,共4页
World Sci-Tech R&D
基金
国家自然科学基金(51007030)
中央高校基本科研业务费专项资金(21611420
21611382)
国家大学生创新创业训练计划项目(1210559122)资助
关键词
电力系统
故障测距
频域法
模拟退火法
参数识别
优化算法
electrical power systems
fault location algorithm
frequency domain
simulated annealing
parameter identification
optimization algorithm