simulation

说明：  pid仿真，控制，编程及与matlab的结合应用(pid simulation, control, programming and applications with a combination matlab)

A MATLAB book which will be helpful for beginners

pv basic model for using in power electronics

这是一个用S函数写成的在altha/beta坐标系下的双馈风力发电机模型。(This is a function written by S in altha/beta coordinate system under the doubly-fed wind turbine model.)

用FDTD建立二维模型，使用matlab实现衍射层析成像显示目标的电性参数(diffraction tomography)

decisor using energy and zero cross

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

powell法求极值，根据课程老师布置的作业，其中包括黄金分割法，一维进退法(powell method)

matlab 改进蚁群算法，应用简单广泛。(ant optimization)

现代电力系统分析书后PQ分解潮流计算程序(Modern power system analysis book PQ decomposition flow calculation procedures)