电力系统建模控制-串联电容补偿

EMD的边际谱的算例，很实用，做这一块的快下(EMD example the marginal spectrum, it is practical to do this under a piece of the fast)

That is a program, about frequency and digital siglal processing. It is a .m file, that is developed for Matlab environment.

多目标车辆路径算法matlab程序，号称是遗传算法，实际是启发式算法实现(Multi-objective vehicle routing algorithm matlab program, known as genetic algorithms, heuristic algorithm is actually)

function of gauss Seidel vectorized

混沌工具箱ver.2.0,程序没问题，可以用。有c-c法求时延和嵌入维数的，求最大李雅普诺夫指数的等。(Chaos Toolbox ver.2.0, the program is no problem, you can use. There cc method for delay and embedding dimension, for the largest Lyapunov exponent and so on.)

spectrum sensing is used for communication purpose. Matlab code is utilized for detecting signal by using energy detection noise.

documents about the voltage source converter

在仿真中通常利用3GPP中的scm信道来模拟MIMO信道，各个scm信道是独立产生，相互之间独立，即相关系数为零。(Often used in the simulation of the 3 GPP SCM channel to simulate the MIMO channel, the SCM channel is independent, independent with each other, the correlation coefficient is zero.)

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).)

simulink仿真框图来实现BPSK调制(simulation simulink block diagram to realize BPSK modulation)