jiedian

this the atp_emtp model of the tcsc with the sampling of the signal this is one of the advanced sofware call atp-emtp used to get the most accurate transients

ineed you very much 123

编写一通用的预测法分析程序，要求有一定的错误处理能力，出错后能够使程序继续运行下去，直到分析过程结束。可通过不同的文法（通过数据表现）进行测试。(Write a generic prediction analysis procedure that requires a certain degree of error-handling capabilities, enabling the program to continue after an error to run it until the end of the analysis process. Can be tested by different grammar (by performance data).)

MATLAB的一些参数设置的参考，方便对参数的设置，本人认为很好(MATLAB reference set some parameters to facilitate the setting of the parameters, I think a good)

采用matlab软件进行了短路电流计算的程序，有三相短路以及单相短路(Matlab software for the short-circuit current calculation procedures, a three-phase short-circuit and single phase short circuit)

mppt for photovoltaic systme

在pudn找到的leach协议的源代码大多是基于这篇文章的，把原版论文和大家共享。(SEP:A Stable Election Protocol for clustered heterogeneous wireless sensor networks )

自动检测车牌号，进行图像分析，并进行相应和相关的处理(Automatically detect the license plate number)

这是一个基于PQ控制的逆变并网模型，可以完美运行。(PQ control, perfect operation.)

说明：  采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)