基于自适应遗传算法的电网参数检测的研究

Detection of Power System Parameters Based on the Adaptive Genetic Algorithm

电力系统有三个非常重要的参数,即振幅、频率和相位。对其实时高精度的跟踪检测对电力系统运行安全具有非常重要的意义。针对传统测量方式很难同时满足对多个变量的准确跟踪测量,文章提出运用自适应遗传算法进行这三个参数的跟踪检测。区别于传统遗传算法,自适应遗传算法加入交叉和变异概率自适应线性调整,大大提高了搜索速度,收敛精度和稳定性。仿真结果证明该方法行之有效,速度快、精度高,完全能满足对电网电压振幅、频率和相位的检测要求。

Frequency, amplitude and phase are very important parameters of power system. Accurate and real-time tracking and measurement of them is essential to sate operation of power system. Since traditional methods are not able to track and measure multivariate power system fast and accurately, the adaptive genetic algorithm （AGA） is proposed to solve this problem in this article. Unlike traditional GA, the AGA adds adaptive linear algorithm for regulating the proba- bilities of crossover and mutation, which greatly improves the search speed, accuracy and stability. The method is proved to be effective, fast and accurate by simulation results, and is capable of meeting tracking and measuring requirements of the power system.