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基于MATLAB/CPLEX 的机组最优组合，成功求解表格化，图示化的机组组合结果，含机组各时段启停计划、机组各时段最优出力，以及内含的各时段的直流潮流等。(Based on the MATLAB/CPLEX optimal combination of units, the results of tabular and graphical unit commitment are successfully solved, including the start-up and shutdown schedule of each unit, the optimal output of each period of the unit, and the DC power flow contained in each period.)

说明：  在局部阴影下实现光伏板的多峰mppt。运用模糊控制打的方法得到理想的输出特性曲线。(Multi-peak MPPT of photovoltaic panel is realized under local shadow.Using the method of fuzzy control to get the ideal output characteristic curve.)

说明：  江苏645规约重合闸断路器控制器 模拟主站通讯(Jiangsu 645 Protocol Simulated Main Station)

对MMC拓扑结构进行描述，方面研究模块化多电平拓扑结构人员学习(The MMC topology is described, and the modular multilevel topology is studied.)

没有用，随便上传的，一会说必然会把握科技和室内的(An all-DC offshore wind farm with series-connected turbines)

各向异性q模拟， 适应于地震资料处理反演实验(U-58 Ani Q- Anisotropic Q modeling Yaping Zhu May 2006 Confidential to the Consortium until 1 Aug 2009 Contents of this directory are Matlab packages to perform the following tasks. HomoPlaneAttVTI, Yaping Zhu, complex wavenumber for "homogeneous" plane P-SV wave propagation in VTI media with VTI attenuation Note: "Homogeneous" here means that the real and imaginary parts of the wavevector are parallel to each other. HomoPlaneAttORT, Yaping Zhu, complex wavenumber for "homogeneous" plane P-wave propagation in orthorhombic (ORT) media with ORT attenuation Note: "Homogeneous" here means that the real and imaginary parts of the wavevector are parallel to each other. RotCij, Yaping Zhu, Bond transformation of the Cij matrix (6x6) EffQTI, Yaping Zhu, Effective attenuation- and velocity-anisotropy parameters for finely-layered VTI media composed of arbitrary number of constituents )

说明：  PSCAD Example with Sample files

电流型两电平整流器simlink仿真，空间矢量调制，双闭环(SIMLINK simulation of current-source two-level converter)

这个程序主要用于计算电力系统的潮流，进而了解电力系统的运行状态。(This procedure used to calculate the power flow, and then understand the power system operating state.)

用前馈神经网络对数字图像进行去噪，最终效果去噪良好，能够清晰显现原图像。(With feedforward neural networks for digital image denoising, denoising good final results, we can clearly show the original image.)