random-number

说明：  对VSC-HVDC系统进行暂态仿真，实现对VSC-HVDC系统的动态稳定性分析(Transient simulation of VSC-HVDC system)

Matlab和VC混合编程，VC6.0工程设置，图文介绍很详细，在Matlab和VC混合编程中，这一步设置非常重要(Matlab and VC hybrid programming, VC6.0 engineering settings, graphic description is very detailed and hybrid programming in Matlab and VC, this step is quite important)

based on fast decoupled method on load flow program that can help you better electrical system optimization, the use of standard MATLAB

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

matlab下的万年历（没有利用自带函数）能够正确显示用户输入的年份和月份的日历。并能够自动定位当前年份和月份(Calendar matlab under (no use of its own function) to display the correct user input month and year calendar. And the ability to automatically locate the current year and month)

matlab实现信号迭代解卷积功能。其中包含了三个文件：1.iter_Deconv，迭代解卷积子函数；2.receiver_H，例子中接收线圈系统函数生成子函数；3.测试迭代解卷积的测试函数。(matlab to achieve signal iteration deconvolution function. Which contains three files: 1.iter_Deconv, iteration deconvolution of the cumulative sub-function; 2.receiver_H, in the case of receiving the coil system function to generate sub-functions; 3. Test iteration deconvolution of the test function.)

ADVANCED MOUSE POINTER CONTROL USING TRAJECTORY

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)

非常有用的matlab实用例程,mei you mi ma(very useful practical Matlab routines, mei you mi ma)

Electrical and Mechanical Behavior of a Wind Turbine System for Basic machine Asynchronous Dual Power Connected Electrical Network