-
lcl滤波并网
说明： 并网逆变器通常采用L滤波器，虽然结构和控制简单，但是随着功率级别的增加会地带来体积重量增大等问题。LCL滤波器适用于功率较大的场合。(Grid-connected inverters usually use L filters. Although the structure and control are simple, problems such as volume and weight increase with the increase of power level. The LCL filter is suitable for occasions with large power.)
- 2020-03-16 19:10:24下载
- 积分：1
-
Bi_directional_FixVoltage_2016a
蓄电池双向Boost/Buck充放电控制，与电网结合。(Battery bi-directional Boost/Buck charge and discharge control, combined with the grid.)
- 2018-09-16 10:50:43下载
- 积分：1
-
ABAQUS与Python
采用Python脚本语言二次开发ABAQUS的前处理模块创建了一个带孔平板模型，实现了参数化建模。(Parametrical model using Python in Abaqus.)
- 2020-06-30 16:40:01下载
- 积分：1
-
matlab接安捷伦
matlab连接安捷伦示波器，可以显示单个通道数据，自己设置采样点数，设置内存深度，可以通过改变循环达到长时间监控目的（数据传输有延时，用于捕捉信号时要延长监控时间）。(matlab Connect the agilent oscilloscope)
- 2017-09-29 16:52:07下载
- 积分：1
-
zhihuan
单相半桥式跟踪PWM逆变器仿真，电流滞环跟踪控制(Single phase half bridge tracking PWM inverter simulation, current hysteresis tracking control.)
- 2018-04-05 21:15:09下载
- 积分：1
-
IEEE39_BPA_PSSE
基于bpa的IEEE39节点算例，包含暂态数据和稳态数据(Example of IEEE39 node based on BPA)
- 2021-06-21 19:30:01下载
- 积分：1
-
光伏仿真模型和MPPT和BOOST
光伏仿真模型和boost-buck模型，适合做微网或者交直流微网的学者研究(Photovoltaic simulation models and boost-buck models are suitable for microgrid or AC-DC microgrid researchers.)
- 2020-12-29 14:09:00下载
- 积分：1
-
IGBT逆变器采用SPWM技术power_3level
该模型是对50kW、380V、50Hz三相三电平逆变器的两个相同电路进行建模。IGBT逆变器采用SPWM技术，(8kHz载频)将直流电源从a +/-200Vdc源转换为220V AC, 50Hz。逆变器通过75kVA 220/380V变压器输入50kW电阻负载。变频器输出采用L-C滤波器滤除主要产生于8kHz开关频率倍数(Fh=n*8000 +/-k*50Hz)附近的谐波频率Fh。逆变器所需的12个逆变脉冲由PWM发生器块产生。该系统以恒定的调制指标在开环中工作。
电路1使用三电平桥块对逆变器进行建模。电路2使用独立的IGBTs和二极管块。用开/关延时块模拟死区，仅在电路1上应用。(It is easy for us)
- 2020-07-14 09:08:52下载
- 积分：1
-
boost
说明： 状态空间Boost建模，用增广系统进行状态反馈控制恒压(The state space boost model is built, and the augmented system is used to control the constant voltage)
- 2020-12-28 14:44:21下载
- 积分：1
-
DE优化函数程序
大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)
- 2018-06-28 09:53:07下载
- 积分：1
